Shortcuts

Small Business

Analyze competitors from business names or websites

Input:

Upload or input [COMPETITOR LIST] (names, websites, or descriptions)
Specify [MARKET SCOPE] (local, regional, national, online)
Indicate [ANALYSIS FOCUS] (pricing, marketing, products, customer service)

Prompt:

Research and analyze these [MARKET SCOPE] competitors, focusing on [ANALYSIS FOCUS], and create a comparison table with differentiation opportunities. [COMPETITOR LIST]

Output:

Targeted competitor analysis matrix with specific actionable insights

Generate pricing strategy from cost breakdown

Input:

Upload [COST INFORMATION] (materials, labor, overhead, etc.)
Specify [TARGET MARKET] (budget, mid-market, premium)
Indicate [BUSINESS MODEL] (one-time sale, subscription, service-based)

Prompt:

Create a pricing strategy for [TARGET MARKET] customers using a [BUSINESS MODEL] approach, based on these costs.

Output:

Document with market-appropriate pricing recommendations with profit analysis

Analyze cash flow from financial records

Input:

Upload [FINANCIAL RECORDS] (bank statements, accounts receivable, accounts payable, sales data)
Specify [CASH FLOW ISSUE] (seasonal gaps, growth strain, collection problems, expense management)
Indicate [BUSINESS TYPE] (retail, service-based, manufacturing, professional services)

Prompt:

Analyze cash flow for [BUSINESS TYPE] addressing [CASH FLOW ISSUE] based on uploaded financial records.

Output:

Business-type-specific cash flow analysis with issue-focused solutions and forecasting recommendations

Create marketing plan from customer data

Input:

Upload [CUSTOMER DATA] (customer profiles, purchase history, feedback, demographics)
Specify [MARKETING BUDGET] (under $1K/month, $1-5K/month, $5-10K/month, $10K+/month)
Indicate [GROWTH GOAL] (maintain customers, steady growth, aggressive expansion, new markets)

Prompt:

Build marketing plan with [MARKETING BUDGET] budget targeting [GROWTH GOAL] based on customer data.

Output:

Budget-appropriate marketing plan with growth-goal-aligned tactics and channel recommendations

Build financial projections from revenue assumptions

Input:

Upload or input [REVENUE ASSUMPTIONS] (pricing, customer estimates, growth rates)
Specify [BUSINESS TYPE] (product, service, SaaS, retail)
Indicate [STARTUP COSTS] (under $10K, $10-50K, $50K+)

Prompt:

Create 12-month financial projections for this [BUSINESS TYPE] with [STARTUP COSTS] initial investment, based on these [REVENUE ASSUMPTIONS].

Output:

Business-specific financial forecast with realistic expense categories

Create operational procedures from business processes

Input:

Input [PROCESSES] (how you currently do things)
Specify [TEAM SIZE] (solo, 2-5 people, 5+ people)
Indicate [PRIORITY AREAS] (customer service, fulfillment, quality control)

Prompt:

Convert these informal [PROCESSES] into standardized procedures for a [TEAM SIZE] team, prioritizing [PRIORITY AREAS].

Output:

Team-appropriate procedures document with delegation and accountability built-in

Build customer loyalty program from purchase data

Input:

Upload [PURCHASE DATA] (transaction history, customer frequency, average order value, retention rates)
Specify [PROGRAM GOAL] (increase frequency, raise order value, improve retention, referral generation)
Indicate [BUSINESS MODEL] (retail store, online shop, service business, subscription model)

Prompt:

Create loyalty program for [BUSINESS MODEL] targeting [PROGRAM GOAL] based on uploaded purchase data.

Output:

Business-model-specific loyalty program with goal-aligned rewards and engagement strategies

Create vendor management strategy from supplier data

Input:

Upload [SUPPLIER DATA] (vendor list, costs, delivery performance, quality issues, contract terms)
Specify [VENDOR PRIORITY] (cost reduction, quality improvement, reliability, relationship building)
Indicate [SUPPLY COMPLEXITY] (few suppliers, diverse vendors, critical dependencies, commodity purchases)

Prompt:

Build vendor strategy prioritizing [VENDOR PRIORITY] for [SUPPLY COMPLEXITY] based on uploaded supplier data.

Output:

Priority-focused vendor strategy with complexity-appropriate management tactics and negotiation approaches

Startup/Founder

Create business plan outline from business idea

Input:

Input [BUSINESS IDEA] description or upload concept document
Specify [BUSINESS TYPE] (product, service, tech, retail, etc.)
Indicate [FUNDING GOAL] (bootstrap, small loan, investor funding)

Prompt:

Create a comprehensive business plan outline for this [BUSINESS TYPE] targeting [FUNDING GOAL], based on this [BUSINESS IDEA].

Output:

Business plan template document tailored to business type and funding approach

Analyze market opportunity from research data

Input:

Upload [RESEARCH DATA] (market size, customer interviews, competitor analysis, industry trends)
Specify [MARKET APPROACH] (disruptive innovation, better solution, underserved niche, new category)
Indicate [GO-TO-MARKET] (direct sales, product-led growth, marketplace, partnerships)

Prompt:

Evaluate market opportunity using [MARKET APPROACH] with [GO-TO-MARKET] strategy based on research data.

Output:

Approach-aligned market analysis with go-to-market-matched opportunity assessment and entry strategies

Develop brand identity from business description

Input:

Input [BUSINESS DESCRIPTION] and target audience info
Specify [BRAND PERSONALITY] (professional, friendly, innovative, trustworthy)
Indicate [INDUSTRY TONE] (corporate, creative, technical, casual)

Prompt:

Create a complete brand identity guide with [BRAND PERSONALITY] personality for the [INDUSTRY TONE] industry, based on [BUSINESS DESCRIPTION].

Output:

Industry-appropriate brand identity document with personality-driven guidelines

Generate funding pitch from business information

Input:

Upload or input [BUSINESS SUMMARY] and funding requirements
Specify [FUNDING TYPE] (bank loan, investors, grants, crowdfunding)
Indicate [FUNDING AMOUNT] (under $50K, $50-250K, $250K+)

Prompt:

Create a compelling [FUNDING TYPE] pitch for [FUNDING AMOUNT] based on [BUSINESS SUMMARY].

Output:

Funding-type-specific pitch deck with appropriate focus and metrics

Build MVP roadmap from product vision

Input:

Input [PRODUCT VISION] (feature ideas, user needs, technical requirements, success metrics)
Specify [DEVELOPMENT RESOURCES] (technical founder, outsourced dev, no-code tools, hybrid approach)
Indicate [LAUNCH TIMELINE] (ASAP launch, 3-month build, 6-month development, iterative releases)

Prompt:

Create MVP roadmap with [DEVELOPMENT RESOURCES] for [LAUNCH TIMELINE] based on [PRODUCT VISION].

Output:

Resource-realistic MVP roadmap with timeline-appropriate feature prioritization and launch planning

Create go-to-market strategy from target customer data

Input:

Upload or input [TARGET CUSTOMER DATA] (customer profiles, pain points, buying behavior, channel preferences)
Specify [CUSTOMER ACQUISITION] (organic growth, paid marketing, sales-led, community-driven)
Indicate [INITIAL BUDGET] (minimal spend, moderate investment, well-funded, capital-efficient)

Prompt:

Build go-to-market strategy using [CUSTOMER ACQUISITION] with [INITIAL BUDGET] based on [TARGET CUSTOMER DATA].

Output:

Acquisition-approach-aligned GTM strategy with budget-realistic tactics and scaling roadmap

Analyze competitive positioning from startup landscape

Input:

Upload or input [STARTUP LANDSCAPE] (direct competitors, adjacent solutions, incumbents, emerging players)
Specify [POSITIONING STRATEGY] (better product, lower cost, different approach, new category)
Indicate [DEFENSIBILITY] (network effects, technology moat, brand, execution speed)

Prompt:

Define competitive positioning using [POSITIONING STRATEGY] with [DEFENSIBILITY] based on [STARTUP LANDSCAPE].

Output:

Strategy-specific positioning analysis with defensibility-focused competitive advantages and market entry tactics

Analyze customer validation from feedback data

Input:

Upload [FEEDBACK DATA] (customer interviews, survey responses, beta user feedback, early sales data)
Specify [VALIDATION STAGE] (problem validation, solution validation, product-market fit, scaling readiness)
Indicate [PIVOT OPENNESS] (committed to vision, open to adjustments, actively exploring, ready to pivot)

Prompt:

Evaluate customer validation at [VALIDATION STAGE] with [PIVOT OPENNESS] based on feedback data.

Output:

Stage-appropriate validation analysis with openness-matched recommendations and next-step guidance

Marketing

Create brand voice and tone guide from writing samples

Input:

Upload [WRITING SAMPLES] (emails, website copy, social posts, etc.)

Prompt:

Use the attached writing samples to produce a brand voice and tone guide that's in line with this writing style.

Output:

Brand voice and tone guide document with specific examples and guidelines

Write email campaign sequence from customer testimonials

Input:

Upload [CUSTOMER TESTIMONIALS] and [PRODUCT/FEATURE BENEFITS DOCUMENTATION]

Prompt:

Create a 5-email nurture sequence using these customer testimonials to showcase product value.

Output:

Document with copy for a 5-email campaign sequence with subject lines and calls-to-action

Create competitor analysis from their websites

Input:

Provide [COMPETITOR URLS] and [YOUR BUSINESS URL]

Prompt:

Analyze these [COMPETITOR URLS] and create a comparison chart against [YOUR BUSINESS URL] highlighting their messaging, pricing, and positioning.

Output:

Competitor analysis table with key differentiators identified

Develop buyer personas from customer data

Input:

Upload [CUSTOMER DATA] (surveys, demographics, purchase history)
Specify [BUSINESS TYPE] (B2B SaaS, e-commerce, consulting, etc.)
Indicate [PRICE RANGE] of your product/service

Prompt:

Create 3 detailed buyer personas for this [BUSINESS TYPE] with [PRICE RANGE] products, based on this customer data, including pain points and motivations.

Output:

Document with 3 buyer persona profiles with demographics, goals, challenges, and buying behavior

Generate blog post ideas from keyword research

Input:

Upload [KEYWORD LIST] or search terms
Specify [TARGET AUDIENCE] (executives, small business owners, developers, etc.)
Indicate [CONTENT GOAL] (lead generation, brand awareness, thought leadership)

Prompt:

Create 20 blog post titles and brief outlines targeting [TARGET AUDIENCE] for [CONTENT GOAL] based on these keywords.

Output:

Document with 20 blog post ideas with titles, outlines, target keywords, and audience alignment

Create ad copy variations from landing page

Input:

Share [LANDING PAGE URL]

Prompt:

Write 10 different ad copy variations (headlines and descriptions) based on this [LANDING PAGE URL] for A/B testing.

Output:

Document with 10 ad copy variations with headlines, descriptions, and CTAs

Build content strategy from business goals

Input:

Upload [BUSINESS GOALS DOCUMENT] and target audience info
Specify [TIMELINE] (3 months, 6 months, 1 year)
Indicate [TEAM SIZE] (solo, small team, large team)

Prompt:

Create a [TIMELINE] content marketing strategy for a [TEAM SIZE] that aligns with these business goals and target audience.

Output:

Content strategy framework document with themes, channels, success metrics, and resource allocation

Education

Create lesson plans from learning objectives

Input:

Upload [LEARNING OBJECTIVES] or curriculum standards

Prompt:

Create detailed lesson plans with activities and assessments based on these learning objectives.

Output:

Document with complete lesson plans with timing, activities, and assessment methods

Generate quiz questions from course materials

Input:

Upload [COURSE CONTENT] (textbook chapters, lecture notes, presentations)

Prompt:

Create a variety of quiz questions (multiple choice, short answer, essay) based on this course material.

Output:

Quiz bank document with different question types and answer keys

Develop rubrics from assignment descriptions

Input:

Upload or input [ASSIGNMENTS] or project requirements

Prompt:

Create detailed grading rubrics with clear criteria and performance levels for these [ASSIGNMENTS].

Output:

Professional rubrics with scoring criteria and descriptors

Create parent communication from student progress data

Input:

Upload [STUDENT PROGRESS DATA] (grades, behavior notes, observations)

Prompt:

Write personalized parent communication letters highlighting student progress and areas for improvement.

Output:

Document with professional parent communications with specific student insights

Generate activity ideas from curriculum topics

Input:

Upload or input [CURRICULUM TOPICS] or subject areas to cover
Provide [GRADE LEVEL]

Prompt:

Create engaging classroom activities and projects that teach these [CURRICULUM TOPICS] effectively.

Output:

Document with activity suggestions with materials lists and implementation instructions

Build behavior management plan from classroom challenges

Input:

Upload [BEHAVIOR CHALLENGES] (specific issues or general classroom needs)

Prompt:

Develop a comprehensive behavior management plan with strategies and interventions for these challenges.

Output:

Behavior management framework document with specific strategies and consequences

Create differentiated instruction from student needs

Input:

Upload [STUDENT NEEDS ASSESSMENT] (learning styles, abilities, accommodations)

Prompt:

Design differentiated instruction strategies and materials to meet these diverse student needs.

Output:

Differentiation toolkit with multiple learning approaches and accommodations

Develop curriculum mapping from standards documents

Input:

Upload [EDUCATION STANDARDS] (state standards, curriculum frameworks)

Prompt:

Create a curriculum map showing how to cover these standards throughout the school year with pacing guides.

Output:

Year-long curriculum map document with standards alignment and pacing recommendations

Sales

Generate cold outreach sequence from prospect data

Input:

Upload [PROSPECT DATA] (company info, contact details, pain points, research)
Specify [OUTREACH CHANNEL] (email, LinkedIn, phone, multi-channel)
Indicate [RELATIONSHIP LEVEL] (completely cold, warm introduction, past interaction)

Prompt:

Create a [OUTREACH CHANNEL] sequence for [RELATIONSHIP LEVEL] prospects based on this prospect research.

Output:

Document with copy for a channel-appropriate outreach sequence with personalized messaging

Build objection handling guide from sales challenges

Input:

Upload or input [SALES CHALLENGES] (common objections, competitor comparisons, pricing concerns)
Specify [SALES PROCESS] (transactional, consultative, enterprise, relationship-based)
Indicate [PRODUCT COMPLEXITY] (simple, technical, custom solution, high-touch)

Prompt:

Create an objection handling guide for [SALES PROCESS] selling of [PRODUCT COMPLEXITY] products addressing these [SALES CHALLENGES].

Output:

Document with process-appropriate objection responses with complexity-matched explanations

Create proposal template from win/loss data

Input:

Upload [WIN/LOSS DATA] (successful proposals, lost deals, feedback, patterns)
Specify [AVERAGE DEAL SIZE] (under $10K, $10-100K, $100K+, enterprise)
Indicate [DECISION PROCESS] (single buyer, committee, procurement, multi-stage)

Prompt:

Create a proposal template for [AVERAGE DEAL SIZE] deals with [DECISION PROCESS] based on these win/loss patterns.

Output:

Deal-size-appropriate proposal template document optimized for decision process

Develop territory plan from market data

Input:

Upload [MARKET DATA] (accounts, prospects, competition, market size)
Specify [TERRITORY TYPE] (geographic, vertical, account-based, hybrid)
Indicate [RESOURCE ALLOCATION] (solo rep, team selling, channel partners)

Prompt:

Create a territory plan for this [TERRITORY TYPE] territory using [RESOURCE ALLOCATION] approach based on market data.

Output:

Territory-specific plan document with resource-appropriate strategies and account prioritization

Analyze pipeline data and create forecast

Input:

Upload [PIPELINE DATA] (opportunities, stages, probabilities, close dates)
Specify [AVERAGE SALES CYCLE] (under 30 days, 1-3 months, 3-12 months, 12+ months)
Indicate [FORECAST ACCURACY NEED] (quarterly planning, monthly commits, weekly updates)

Prompt:

Analyze pipeline data for [AVERAGE SALES CYCLE] sales and create [FORECAST ACCURACY NEED] forecast with confidence levels.

Output:

Sales-cycle-appropriate forecast with accuracy levels matched to business needs

Create competitive battlecards from competitor intel

Input:

Upload [COMPETITOR INTEL] (competitor strengths, weaknesses, pricing, positioning) or link to [COMPETITOR URLS]
Specify [COMPETITIVE SITUATION] (head-to-head, niche player, market leader, disruptor)
Indicate [SALES TEAM EXPERIENCE] (new reps, experienced, mixed, specialized)

Prompt:

Create competitive battlecards for [COMPETITIVE SITUATION] scenarios designed for [SALES TEAM EXPERIENCE] sales team. Use these [COMPETITOR URLS]

Output:

Document with situation-specific battlecards with experience-appropriate guidance and messaging

Develop customer success stories from client outcomes

Input:

Upload [CLIENT OUTCOMES] (results, metrics, testimonials, implementation details)
Specify [STORY PURPOSE] (proof of concept, ROI justification, risk mitigation, industry credibility)
Indicate [TARGET AUDIENCE] (similar companies, same industry, specific role, general market)

Prompt:

Develop customer success stories for [STORY PURPOSE] targeting [TARGET AUDIENCE] based on these client outcomes.

Output:

Document with purpose-driven success stories with audience-appropriate messaging and proof points

Create discovery call framework from buyer persona data

Input:

Upload or input [BUYER PERSONA DATA] (roles, pain points, decision criteria, buying process)
Specify [CALL PURPOSE] (qualify prospect, understand needs, build rapport, assess fit)
Indicate [BUYER SOPHISTICATION] (first-time buyer, experienced, procurement-driven, highly technical)

Prompt:

Create a discovery call framework for [CALL PURPOSE] with [BUYER SOPHISTICATION] buyers based on this [BUYER PERSONA DATA].

Output:

Call framework document with persona-specific questions and conversation flow

Operations & Supply Chain

Create process improvement plan from workflow data

Input:

Upload [WORKFLOW DATA] (current processes, bottlenecks, timing, resources)
Specify [IMPROVEMENT GOAL] (reduce costs, increase speed, improve quality, enhance capacity)
Indicate [IMPLEMENTATION SCOPE] (quick wins, department-wide, cross-functional, enterprise-wide)

Prompt:

Create process improvement plan focusing on [IMPROVEMENT GOAL] with [IMPLEMENTATION SCOPE] based on this workflow data.

Output:

Goal-focused improvement plan document with scope-appropriate implementation timeline and resource requirements

Analyze supplier performance from vendor data

Input:

Upload [VENDOR DATA] (delivery records, quality metrics, pricing, service levels)
Specify [SUPPLIER CRITICALITY] (commodity, important, strategic, sole source)
Indicate [PERFORMANCE FOCUS] (cost reduction, quality improvement, delivery reliability, relationship management)

Prompt:

Analyze supplier performance for [SUPPLIER CRITICALITY] vendors focusing on [PERFORMANCE FOCUS] based on this vendor data.

Output:

Criticality-appropriate performance analysis with focus-area recommendations and action plans

Build inventory optimization strategy from stock data

Input:

Upload [STOCK DATA] (inventory levels, turnover rates, demand patterns, costs)
Specify [BUSINESS MODEL] (manufacturing, retail, distribution, service-based)
Indicate [OPTIMIZATION PRIORITY] (reduce carrying costs, improve service levels, minimize stockouts, balance investment)

Prompt:

Create inventory optimization strategy for [BUSINESS MODEL] prioritizing [OPTIMIZATION PRIORITY] based on this stock data.

Output:

Business-model-specific inventory strategy document with priority-focused recommendations and implementation plan

Create quality control framework from defect data

Input:

Upload [DEFECT DATA] (quality issues, failure rates, customer complaints, inspection results)
Specify [QUALITY STANDARD] (basic compliance, industry standard, premium quality, zero defects)
Indicate [CONTROL APPROACH] (inspection-based, prevention-focused, statistical control, continuous improvement)

Prompt:

Develop quality control framework targeting [QUALITY STANDARD] using [CONTROL APPROACH] based on this defect data.

Output:

Standard-appropriate quality framework document with approach-specific procedures and monitoring systems

Develop logistics optimization from shipping data

Input:

Upload [SHIPPING DATA] (routes, costs, delivery times, carrier performance)
Specify [DELIVERY PRIORITY] (lowest cost, fastest delivery, most reliable, best service)
Indicate [SHIPMENT VOLUME] (low volume, moderate, high volume, enterprise scale)

Prompt:

Create logistics optimization plan prioritizing [DELIVERY PRIORITY] for [SHIPMENT VOLUME] operations based on shipping data.

Output:

Priority-focused logistics plan document with volume-appropriate strategies and carrier recommendations

Build capacity planning model from demand data

Input:

Upload [DEMAND DATA] (historical demand, forecasts, seasonality, growth projections)
Specify [CAPACITY TYPE] (production, warehouse, transportation, service delivery)
Indicate [PLANNING HORIZON] (short-term tactical, medium-term operational, long-term strategic)

Prompt:

Develop capacity planning model for [CAPACITY TYPE] with [PLANNING HORIZON] focus based on this demand data.

Output:

Capacity-type-specific planning model with horizon-appropriate forecasting and investment recommendations

Create vendor management strategy from supplier portfolio

Input:

Upload [SUPPLIER PORTFOLIO] (vendor list, spend data, contracts, relationships)
Specify [MANAGEMENT APPROACH] (cost-focused, partnership-based, risk-managed, innovation-driven)
Indicate [PORTFOLIO COMPLEXITY] (simple suppliers, diverse categories, global network, strategic alliances)

Prompt:

Build vendor management strategy using [MANAGEMENT APPROACH] for [PORTFOLIO COMPLEXITY] based on supplier portfolio data.

Output:

Approach-aligned vendor strategy document with complexity-appropriate management structures and relationship frameworks

Analyze operational metrics from performance data

Input:

Upload [PERFORMANCE DATA] (KPIs, efficiency metrics, cost data, productivity measures)
Specify [ANALYSIS PURPOSE] (identify problems, benchmark performance, optimize operations, strategic planning)
Indicate [IMPROVEMENT URGENCY] (immediate fixes, quarterly improvements, annual optimization, strategic transformation)

Prompt:

Analyze operational metrics for [ANALYSIS PURPOSE] with [IMPROVEMENT URGENCY] based on this performance data.

Output:

Purpose-driven analysis with urgency-appropriate recommendations and implementation timelines

Real Estate

Analyze market conditions from comparable sales data

Input:

Upload [COMPARABLE SALES DATA] (recent sales, listing prices, days on market, property details)
Specify [PROPERTY TYPE] (single family, condos, commercial, multi-family, land)
Indicate [MARKET PURPOSE] (pricing strategy, investment analysis, market timing, competitive positioning)

Prompt:

Analyze market conditions for [PROPERTY TYPE] properties focusing on [MARKET PURPOSE] based on comparable sales data.

Output:

Property-type-specific market analysis with purpose-driven insights and strategic recommendations

Create investment analysis from property financials

Input:

Upload [PROPERTY FINANCIALS] (income statements, expense records, rent rolls, operating costs)
Specify [INVESTMENT STRATEGY] (cash flow, appreciation, value-add, development, flip)
Indicate [INVESTOR TYPE] (first-time, experienced, institutional, portfolio builder)

Prompt:

Create investment analysis for [INVESTMENT STRATEGY] approach targeting [INVESTOR TYPE] based on property financials.

Output:

Strategy-specific investment analysis with investor-appropriate risk assessments and return projections

Build pricing strategy from market data

Input:

Upload [MARKET DATA] (neighborhood sales, price trends, inventory levels, absorption rates)
Specify [LISTING GOAL] (quick sale, maximum price, market test, competitive positioning)
Indicate [MARKET CONDITIONS] (seller's market, buyer's market, balanced, seasonal)

Prompt:

Develop pricing strategy for [LISTING GOAL] in [MARKET CONDITIONS] based on this market data.

Output:

Goal-aligned pricing strategy document with market-condition-appropriate tactics and timeline

Analyze rental market from lease data

Input:

Upload [LEASE DATA] (rental rates, lease terms, vacancy rates, tenant profiles)
Specify [RENTAL TYPE] (residential, commercial, retail, industrial, mixed-use)
Indicate [OPTIMIZATION FOCUS] (maximize rent, minimize vacancy, improve tenant quality, reduce turnover)

Prompt:

Analyze rental market for [RENTAL TYPE] properties focusing on [OPTIMIZATION FOCUS] based on lease data.

Output:

Rental-type-specific market analysis with optimization-focused strategies and pricing recommendations

Create client presentation from property portfolio

Input:

Upload [PROPERTY PORTFOLIO] (listings, sold properties, market data, client preferences)
Specify [CLIENT TYPE] (first-time buyer, investor, seller, relocating, luxury)
Indicate [PRESENTATION PURPOSE] (listing appointment, buyer consultation, market update, investment proposal)

Prompt:

Create client presentation for [CLIENT TYPE] focusing on [PRESENTATION PURPOSE] based on property portfolio data.

Output:

Client-type-specific presentation (slide deck) with purpose-driven content and property recommendations

Develop marketing plan from property characteristics

Input:

Upload or input [PROPERTY CHARACTERISTICS] (features, location, price point, target demographics)
Specify [MARKETING BUDGET] (minimal, standard, premium, luxury-level)
Indicate [TARGET TIMELINE] (urgent sale, standard timing, patient approach, seasonal strategy)

Prompt:

Build marketing plan with [MARKETING BUDGET] budget for [TARGET TIMELINE] based on [PROPERTY CHARACTERISTICS]}.

Output:

Budget-appropriate marketing plan document with timeline-matched strategies and channel recommendations

Build property management strategy from portfolio data

Input:

Upload [PORTFOLIO DATA] (property types, tenant mix, maintenance history, financial performance)
Specify [MANAGEMENT FOCUS] (maximize NOI, tenant retention, property value, operational efficiency)
Indicate [PORTFOLIO SIZE] (single property, small portfolio, large portfolio, institutional scale)

Prompt:

Develop property management strategy for [PORTFOLIO SIZE] focusing on [MANAGEMENT FOCUS] based on portfolio data.

Output:

Portfolio-size-appropriate management strategy document with focus-area optimization and operational recommendations

Analyze development opportunity from market research

Input:

Upload or input [MARKET RESEARCH] (zoning, demographics, supply/demand, comparable projects)
Specify [DEVELOPMENT TYPE] (residential, commercial, mixed-use, redevelopment, land development)
Indicate [RISK APPETITE] (conservative, moderate, aggressive, speculative)

Prompt:

Analyze development opportunity for [DEVELOPMENT TYPE] project with [RISK APPETITE] approach based on [MARKET RESEARCH].

Output:

Development-type-specific opportunity analysis with risk-appropriate feasibility assessment and recommendations

Nonprofit & Government

Create grant proposal from program data

Input:

Upload or input [PROGRAM DATA] (program description, outcomes, budget needs, impact metrics)
Specify [FUNDER TYPE] (foundation, government, corporate, individual donor)
Indicate [GRANT SIZE] (under $25K, $25-100K, $100K-1M, major gift)

Prompt:

Create grant proposal for [FUNDER TYPE] targeting [GRANT SIZE] funding based on this [PROGRAM DATA].

Output:

Funder-type-specific proposal document with grant-size-appropriate scope and supporting documentation

Analyze program outcomes from impact data

Input:

Upload [IMPACT DATA] (participant outcomes, program metrics, success stories, evaluation results)
Specify [PROGRAM TYPE] (direct service, advocacy, education, research, capacity building)
Indicate [REPORTING PURPOSE] (funder report, board presentation, public communication, strategic planning)

Prompt:

Analyze program outcomes for [PROGRAM TYPE] focusing on [REPORTING PURPOSE] based on impact data.

Output:

Program-type-specific outcome analysis with purpose-driven insights and recommendations

Build fundraising strategy from donor data

Input:

Upload [DONOR DATA] (giving history, donor profiles, engagement levels, campaign results)
Specify [ORGANIZATION SIZE] (startup nonprofit, small organization, established nonprofit, large institution)
Indicate [FUNDRAISING GOAL] (sustaining operations, program expansion, capital campaign, endowment building)

Prompt:

Develop fundraising strategy for [ORGANIZATION SIZE] targeting [FUNDRAISING GOAL] based on donor data.

Output:

Organization-size-appropriate fundraising plan document with goal-specific strategies and donor cultivation approaches

Create budget proposal from program requirements

Input:

Upload or input [PROGRAM REQUIREMENTS] (staffing needs, program costs, administrative expenses, evaluation requirements)
Specify [FUNDING SOURCE] (government contract, foundation grant, fee-for-service, mixed funding)
Indicate [BUDGET COMPLEXITY] (simple program, multi-year project, collaborative initiative, systems change)

Prompt:

Build budget proposal for [FUNDING SOURCE] covering [BUDGET COMPLEXITY] based on [PROGRAM REQUIREMENTS].

Output:

Funding-source-appropriate budget with complexity-matched detail and justification

Analyze stakeholder engagement from community data

Input:

Upload [COMMUNITY DATA] (stakeholder feedback, engagement metrics, participation levels, survey results)
Specify [STAKEHOLDER TYPE] (community members, government officials, partner organizations, funders)
Indicate [ENGAGEMENT GOAL] (increase participation, build support, gather input, strengthen partnerships)

Prompt:

Analyze stakeholder engagement for [STAKEHOLDER TYPE] focusing on [ENGAGEMENT GOAL] based on community data.

Output:

Stakeholder-type-specific engagement analysis with goal-focused strategies and action plans

Create policy briefing from research data

Input:

Upload [RESEARCH DATA] (policy analysis, evidence base, case studies, expert opinions)
Specify [POLICY LEVEL] (local government, state agency, federal department, international body)
Indicate [ADVOCACY APPROACH] (incremental change, comprehensive reform, emergency response, long-term strategy)

Prompt:

Develop policy briefing for [POLICY LEVEL] using [ADVOCACY APPROACH] based on research data.

Output:

Policy-level-appropriate briefing document with advocacy-approach-matched recommendations and implementation strategies

Build volunteer management plan from program needs

Input:

Upload or input [PROGRAM NEEDS] (volunteer roles, skill requirements, time commitments, training needs)
Specify [VOLUNTEER CAPACITY] (occasional helpers, regular volunteers, skilled professionals, board members)
Indicate [MANAGEMENT RESOURCES] (volunteer coordinator, staff time, automated systems, minimal oversight)

Prompt:

Create volunteer management plan for [VOLUNTEER CAPACITY] with [MANAGEMENT RESOURCES] based on [PROGRAM NEEDS].

Output:

Capacity-appropriate volunteer plan document with resource-matched management systems and engagement strategies

Analyze service delivery from client data

Input:

Upload [CLIENT DATA] (service utilization, client outcomes, satisfaction surveys, demographic information)
Specify [SERVICE TYPE] (direct services, case management, group programs, community outreach)
Indicate [IMPROVEMENT FOCUS] (increase access, improve quality, enhance efficiency, expand reach)

Prompt:

Analyze service delivery for [SERVICE TYPE] focusing on [IMPROVEMENT FOCUS] based on client data.

Output:

Service-type-specific delivery analysis with improvement-focused recommendations and implementation guidance

Product & Engineering

Analyze user feedback from product data

Input:

Upload [PRODUCT DATA] (user feedback, reviews, support tickets, feature requests)
Specify [PRODUCT STAGE] (MVP, growth phase, mature product, legacy system)
Indicate [FEEDBACK FOCUS] (feature prioritization, usability improvements, bug fixes, performance optimization)

Prompt:

Analyze user feedback for [PRODUCT STAGE] focusing on [FEEDBACK FOCUS] based on this product data.

Output:

Product-stage-appropriate feedback analysis with focus-area recommendations and prioritized action items

Create technical requirements from feature specifications

Input:

Upload or input [FEATURE SPECIFICATIONS] (user stories, acceptance criteria, mockups, business requirements)
Specify [SYSTEM COMPLEXITY] (simple web app, mobile app, enterprise software, distributed system)
Indicate [DEVELOPMENT APPROACH] (agile sprint, waterfall phase, prototype, full build)

Prompt:

Convert feature specifications into technical requirements for [SYSTEM COMPLEXITY] using [DEVELOPMENT APPROACH]. [FEATURE SPECIFICATIONS]

Output:

Document with system-complexity-appropriate technical requirements with development-approach-matched implementation guidance

Build product roadmap from strategic goals

Input:

Upload or input [STRATEGIC GOALS] (business objectives, user needs, market requirements, competitive analysis)
Specify [PLANNING HORIZON] (quarterly sprint, annual plan, multi-year vision, ongoing evolution)
Indicate [RESOURCE CONSTRAINTS] (small team, limited budget, tight timeline, technical debt)

Prompt:

Create product roadmap for [PLANNING HORIZON] considering [RESOURCE CONSTRAINTS] based on [STRATEGIC GOALS].

Output:

Horizon-appropriate roadmap document with resource-constraint-realistic prioritization and timeline

Analyze performance metrics from system data

Input:

Upload [SYSTEM DATA] (performance logs, user analytics, error reports, usage patterns)
Specify [OPTIMIZATION GOAL] (improve speed, reduce errors, increase scalability, enhance user experience)
Indicate [SYSTEM SCALE] (small application, medium traffic, high volume, enterprise scale)

Prompt:

Analyze performance metrics for [SYSTEM SCALE] focusing on [OPTIMIZATION GOAL] based on system data.

Output:

Scale-appropriate performance analysis with optimization-goal-focused recommendations and implementation priorities

Create testing strategy from code requirements

Input:

Upload or input [CODE REQUIREMENTS] (feature specs, technical architecture, quality standards, deployment needs)
Specify [TESTING SCOPE] (unit testing, integration testing, end-to-end testing, comprehensive QA)
Indicate [QUALITY STANDARD] (basic functionality, production ready, enterprise grade, mission critical)

Prompt:

Develop testing strategy for [TESTING SCOPE] targeting [QUALITY STANDARD] based on [CODE REQUIREMENTS].

Output:

Scope-appropriate testing strategy document with quality-standard-matched coverage and automation recommendations

Build technical documentation from system architecture

Input:

Upload or input [SYSTEM ARCHITECTURE] (code structure, API specifications, database design, integration points)
Specify [AUDIENCE TYPE] (developers, DevOps, end users, technical stakeholders)
Indicate [DOCUMENTATION DEPTH] (quick reference, comprehensive guide, onboarding material, maintenance manual)

Prompt:

Create technical documentation for [AUDIENCE TYPE] with [DOCUMENTATION DEPTH] based on [SYSTEM ARCHITECTURE].

Output:

Audience-appropriate documentation with depth-matched detail and usage guidance

Analyze competitive features from market research

Input:

Upload [MARKET RESEARCH] (competitor analysis, feature comparisons, user preferences, market trends)
Specify [COMPETITIVE POSITION] (market leader, challenger, niche player, new entrant)
Indicate [DIFFERENTIATION GOAL] (feature parity, unique advantage, cost leadership, user experience)

Prompt:

Analyze competitive features for [COMPETITIVE POSITION] focusing on [DIFFERENTIATION GOAL] based on market research.

Output:

Position-appropriate competitive analysis with differentiation-goal-focused feature recommendations and strategic priorities

Create sprint planning from backlog data

Input:

Upload [BACKLOG DATA] (user stories, technical debt, bug reports, feature requests)
Specify [TEAM CAPACITY] (solo developer, small team, full scrum team, multiple teams)
Indicate [SPRINT FOCUS] (new features, bug fixes, technical improvements, user experience)

Prompt:

Plan sprint for [TEAM CAPACITY] focusing on [SPRINT FOCUS] based on backlog data.

Output:

Document with team-capacity-appropriate sprint plan with focus-area-prioritized backlog items and realistic commitments

Media & Content

Analyze content performance from engagement data

Input:

Upload [ENGAGEMENT DATA] (views, shares, comments, click-through rates, time on page)
Specify [CONTENT TYPE] (blog posts, videos, social media, podcasts, newsletters)
Indicate [OPTIMIZATION GOAL] (increase reach, boost engagement, drive conversions, build brand awareness)

Prompt:

Analyze content performance for [CONTENT TYPE] focusing on [OPTIMIZATION GOAL] based on engagement data.

Output:

Content-type-specific performance analysis with optimization-goal-focused recommendations and improvement strategies

Create editorial calendar from content themes

Input:

Upload or input [CONTENT THEMES] (topic ideas, seasonal events, product launches, industry trends)
Specify [PUBLISHING FREQUENCY] (daily, weekly, bi-weekly, monthly)
Indicate [CONTENT MIX] (educational, promotional, entertaining, news-driven)

Prompt:

Build editorial calendar with [PUBLISHING FREQUENCY] schedule using [CONTENT MIX] approach based on [CONTENT THEMES].

Output:

Frequency-appropriate editorial calendar document with content-mix-balanced themes and strategic timing

Build audience analysis from demographic data

Input:

Upload [DEMOGRAPHIC DATA] (audience analytics, survey responses, engagement patterns, follower insights)
Specify [PLATFORM FOCUS] (social media, website, email, video platform, podcast)
Indicate [AUDIENCE GOAL] (grow followers, increase engagement, improve targeting, expand reach)

Prompt:

Analyze audience demographics for [PLATFORM FOCUS] targeting [AUDIENCE GOAL] based on demographic data.

Output:

Platform-specific audience analysis with goal-focused growth strategies and content recommendations

Create content strategy from brand guidelines

Input:

Upload [BRAND GUIDELINES] (voice, tone, visual identity, messaging framework, brand values)
Specify [BUSINESS OBJECTIVE] (brand awareness, lead generation, customer retention, thought leadership)
Indicate [TARGET AUDIENCE] (B2B executives, consumers, industry professionals, general public)

Prompt:

Develop content strategy for [TARGET AUDIENCE] achieving [BUSINESS OBJECTIVE] based on brand guidelines.

Output:

Audience-appropriate content strategy document with objective-aligned tactics and brand-consistent messaging

Analyze competitor content from market research

Input:

Upload [MARKET RESEARCH] (competitor content, engagement rates, posting strategies, audience responses)
Specify [COMPETITIVE POSITION] (market leader, challenger, niche player, new entrant)
Indicate [DIFFERENTIATION FOCUS] (unique voice, better quality, different format, underserved topics)

Prompt:

Analyze competitor content for [COMPETITIVE POSITION] focusing on [DIFFERENTIATION FOCUS] based on market research.

Output:

Position-appropriate competitive analysis with differentiation-focused content opportunities and strategic gaps

Build influencer campaign from partnership data

Input:

Upload [PARTNERSHIP DATA] (influencer profiles, audience overlap, engagement rates, past collaborations)
Specify [CAMPAIGN GOAL] (brand awareness, product launch, audience growth, credibility building)
Indicate [BUDGET LEVEL] (micro-influencers, mid-tier, macro-influencers, celebrity partnerships)

Prompt:

Create influencer campaign for [CAMPAIGN GOAL] with [BUDGET LEVEL] approach based on partnership data.

Output:

Goal-aligned influencer campaign document with budget-appropriate partnerships and performance metrics

Create monetization strategy from audience data

Input:

Upload [AUDIENCE DATA] (demographics, engagement levels, consumption patterns, loyalty metrics)
Specify [CONTENT PLATFORM] (blog, YouTube, podcast, newsletter, social media)
Indicate [REVENUE MODEL] (advertising, subscriptions, sponsorships, affiliate marketing, product sales)

Prompt:

Develop monetization strategy for [CONTENT PLATFORM] using [REVENUE MODEL] based on audience data.

Output:

Platform-specific monetization plan document with revenue-model-appropriate tactics and growth projections

Analyze brand safety from content audit

Input:

Upload [CONTENT AUDIT] (published content, brand mentions, user-generated content, platform policies)
Specify [BRAND SENSITIVITY] (corporate brand, consumer brand, regulated industry, high-profile organization)
Indicate [RISK TOLERANCE] (conservative approach, balanced risk, aggressive growth, experimental content)

Prompt:

Evaluate brand safety for [BRAND SENSITIVITY] with [RISK TOLERANCE] based on content audit.

Output:

Document with brand-sensitivity-appropriate safety assessment with risk-tolerance-matched guidelines and monitoring procedures

Data Migration

Split field into multiple fields

Input:

Specify [SHEET NAME] with field to split
Specify [FIELD NAME] to split
Indicate [NEW FIELD NAMES] (comma-separated list)
Specify [SPLIT LOGIC] (delimiter, pattern, or parsing rule)

Prompt:

Split the [FIELD NAME] column in [SHEET NAME] into separate fields: [NEW FIELD NAMES]. Use [SPLIT LOGIC] to parse the values. Handle edge cases where the field might be empty or malformed. Update the sheet schema accordingly.

Output:

Updated data file with split fields, edge case handling, and schema documentation

Combine multiple fields into a new single field

Input:

Specify [SHEET NAME] with fields to combine
Specify [SOURCE FIELDS] to combine (comma-separated)
Indicate [TARGET FIELD NAME] for combined field
Specify in [RETAIN YES/NO] if you want to retain original fields

Prompt:

Combine [SOURCE FIELDS] in [SHEET NAME] into a new [TARGET FIELD NAME] field in [SHEET NAME]. [RETAIN YES/NO]

Output:

Updated data file with combined field and original field handling per specification

Unpivot data (from wide → long)

Input:

Specify [SHEET NAME] in wide format
Specify [COLUMNS TO UNPIVOT] (comma-separated)
Indicate [CATEGORY COLUMN NAME] for former column names
Specify [VALUE COLUMN NAME] for data values
Indicate [ID COLUMNS] to keep as identifiers

Prompt:

Transform [SHEET NAME] from wide format to long format. The [COLUMNS TO UNPIVOT] columns should become rows with a new [CATEGORY COLUMN NAME] column for the former column names and a [VALUE COLUMN NAME] for the data. Keep [ID COLUMNS] as identifier columns.

Output:

Transformed long-format data file with preserved identifiers and proper structure

Dedupe records

Input:

Specify [SHEET NAME] with potential duplicates
Specify [MATCHING FIELDS] for duplicate detection
Indicate [KEEP CRITERIA] (most recent, most complete, first, last)

Prompt:

Remove duplicate records from [SHEET NAME] based on [MATCHING FIELDS]. For duplicates, keep the record with [KEEP CRITERIA]. Show me the duplicate analysis first, then perform the deduplication and report how many records were removed.

Output:

Duplicate analysis report, deduplicated data file, and removal summary statistics

Create a new data validity check

Input:

Upload [DATA FILE] to validate
Specify [VALIDATION REQUIREMENTS] (email formats, date ranges, required fields, business logic)

Prompt:

Design validation rules for [SHEET NAME] that check: [VALIDATION REQUIREMENTS]. Create the validation, run it against the current data, and show me a summary of any issues found with recommendations for fixes.

Output:

Validation rule documentation, data quality report, and issue remediation recommendations

Create sample data sheet for testing

Input:

Specify [SHEET NAME]
Specify [NUMBER OF RECORDS] to generate
Specify [TEST PURPOSE] (system testing, validation testing, load testing)

Prompt:

Generate a test dataset based on the schema [SHEET NAME] with [NUMBER OF RECORDS] sample records. Make the test data realistic but obviously fake, covering edge cases like: empty fields, boundary values, special characters, and different data patterns. This is for [TEST PURPOSE].

Output:

Test data file with realistic fake data, edge case coverage, and testing documentation

Upload file to SFTP server

Input:

Specify [FILE TO TRANSFER]
Specify [SFTP HOSTNAME]
Indicate [DESTINATION PATH]

Prompt:

Upload [FILE TO TRANSFER] to the SFTP server at [SFTP HOSTNAME]. The file should go to [DESTINATION PATH]. Confirm the transfer completed successfully and provide the final file location.

Output:

Transfer confirmation, final file location, and upload success verification

Reshape data into a JSON payload

Input:

Specify [NAME OF DATA SHEET] to transform

Prompt:

Transform [NAME OF DATA SHEET] into a JSON payload where each record becomes a JSON object. [Optional: Specify custom requirements here, e.g., specific field mappings, nested objects, array structures]. Export the result as a .json file ready for API consumption.

Output:

JSON file with properly structured data ready for API integration

Generate bulk import job request

Input:

Specify the [NAME OF DATA SHEET] to import
Specify [TARGET SYSTEM] (Salesforce, database, API endpoint)
Indicate [OUTPUT FORMAT] (CSV, JSON, XML)

Prompt:

Create a bulk import job specification for [TARGET SYSTEM] using the cleaned data in sheet [NAME OF DATA SHEET]. Include all required metadata: field mappings, data types, validation rules, and error handling preferences. Format this as [OUTPUT FORMAT] with the proper headers and structure their system expects.

Output:

Import-ready file with system-specific formatting, metadata, and validation rules

Draft summary of migration tasks completed

Input:

Specify [REPORT AUDIENCE] (technical team, management, client)
Indicate [DETAIL LEVEL] (executive summary, detailed technical, comprehensive)

Prompt:

Create a migration summary document covering all the data transformation work completed in this project. Include: source data overview, transformations applied, data quality improvements, validation results, final record counts, and any issues encountered. Format this as a [DETAIL LEVEL] report for [REPORT AUDIENCE].

Output:

Professional migration summary report with comprehensive documentation of all work completed

Consulting & Professional Services

Create client proposal from project requirements

Input:

Upload or input [PROJECT REQUIREMENTS] (client needs, scope description, deliverables, timeline)
Specify [SERVICE TYPE] (strategy consulting, implementation, advisory, specialized expertise)
Indicate [CLIENT SIZE] (small business, mid-market, enterprise, government agency)

Prompt:

Create client proposal for [SERVICE TYPE] targeting [CLIENT SIZE] based on [PROJECT REQUIREMENTS].

Output:

Service-type-specific proposal document with client-size-appropriate scope, pricing, and delivery approach

Analyze project profitability from engagement data

Input:

Upload [ENGAGEMENT DATA] (time tracking, expenses, billing rates, project costs, resource allocation)
Specify [PROFITABILITY FOCUS] (improve margins, reduce costs, optimize pricing, enhance efficiency)
Indicate [PRACTICE AREA] (management consulting, IT services, financial advisory, legal services)

Prompt:

Analyze project profitability for [PRACTICE AREA] focusing on [PROFITABILITY FOCUS] based on engagement data.

Output:

Practice-area-specific profitability analysis with focus-area optimization strategies and pricing recommendations

Build thought leadership content from expertise data

Input:

Upload or input [EXPERTISE DATA] (project experience, industry knowledge, unique insights, client outcomes)
Specify [CONTENT FORMAT] (white papers, blog posts, speaking topics, research reports)
Indicate [AUDIENCE TARGET] (C-suite executives, industry professionals, potential clients, peer consultants)

Prompt:

Develop thought leadership content in [CONTENT FORMAT] for [AUDIENCE TARGET] based on [EXPERTISE DATA].

Output:

Document with format-appropriate thought leadership content with audience-targeted insights and positioning

Create case study from client success data

Input:

Upload or input [CLIENT SUCCESS DATA] (project outcomes, metrics, testimonials, implementation details)
Specify [CASE STUDY PURPOSE] (sales enablement, marketing material, award submission, capability demonstration)
Indicate [CONFIDENTIALITY LEVEL] (public case study, anonymized version, internal use only, client approval required)

Prompt:

Build case study for [CASE STUDY PURPOSE] with [CONFIDENTIALITY LEVEL] based on [CLIENT SUCCESS DATA].

Output:

Purpose-specific case study document with confidentiality-appropriate detail and compelling success narrative

Analyze competitive positioning from market data

Input:

Upload [MARKET DATA] (competitor analysis, service offerings, pricing, client feedback, market trends)
Specify [COMPETITIVE STRATEGY] (differentiation, cost leadership, niche specialization, full-service provider)
Indicate [MARKET POSITION] (established player, growing firm, boutique specialist, new entrant)

Prompt:

Analyze competitive positioning for [MARKET POSITION] using [COMPETITIVE STRATEGY] based on market data.

Output:

Position-appropriate competitive analysis with strategy-aligned differentiation recommendations

Build business development plan from pipeline data

Input:

Upload [PIPELINE DATA] (prospect information, proposal history, win/loss data, relationship mapping)
Specify [GROWTH GOAL] (revenue increase, market expansion, service diversification, client retention)
Indicate [SALES APPROACH] (relationship-based, proposal-driven, referral-focused, digital marketing)

Prompt:

Create business development plan for [GROWTH GOAL] using [SALES APPROACH] based on pipeline data.

Output:

Goal-aligned business development plan document with approach-specific tactics and pipeline management strategies

Create client satisfaction analysis from feedback data

Input:

Upload [FEEDBACK DATA] (client surveys, project evaluations, testimonials, complaint records)
Specify [IMPROVEMENT FOCUS] (service quality, communication, delivery speed, value demonstration)
Indicate [CLIENT RELATIONSHIP] (ongoing retainer, project-based, strategic partnership, transactional)

Prompt:

Analyze client satisfaction focusing on [IMPROVEMENT FOCUS] for [CLIENT RELATIONSHIP] based on feedback data.

Output:

Focus-area-specific satisfaction analysis with relationship-appropriate improvement strategies

Develop pricing strategy from service portfolio

Input:

Upload or input [SERVICE PORTFOLIO] (service descriptions, current pricing, delivery models, value propositions)
Specify [PRICING MODEL] (hourly rates, fixed fees, value-based, retainer agreements)
Indicate [MARKET POSITIONING] (premium provider, competitive rates, value option, specialized expertise)

Prompt:

Build pricing strategy using [PRICING MODEL] for [MARKET POSITIONING] based on [SERVICE PORTFOLIO].

Output:

Model-appropriate pricing strategy document with positioning-aligned rates and value justification frameworks

HR & Recruiting

Analyze employee satisfaction from survey data

Input:

Upload [SURVEY DATA] (employee feedback, satisfaction scores, engagement metrics, exit interviews)
Specify [ORGANIZATION SIZE] (startup, small company, mid-size, large enterprise)
Indicate [RETENTION PRIORITY] (reduce turnover, improve engagement, address specific issues, enhance culture)

Prompt:

Analyze employee satisfaction for [ORGANIZATION SIZE] focusing on [RETENTION PRIORITY] based on survey data.

Output:

Organization-size-appropriate satisfaction analysis with retention-priority-focused action plans and improvement strategies

Create job description from role requirements

Input:

Upload or input [ROLE REQUIREMENTS] (responsibilities, skills needed, team structure)
Upload or input [COMPANY CULTURE] (mission statement, values, benefits)
Specify [POSITION LEVEL] (entry-level, mid-level, senior, executive, specialized)
Indicate [HIRING URGENCY] (immediate need, standard timeline, strategic hire, future planning)

Prompt:

Build job description for [POSITION LEVEL] role with [HIRING URGENCY] based on [ROLE REQUIREMENTS].

Output:

Document with position-level-appropriate job description with urgency-matched messaging and requirements, with reference to company culture benefits

Build compensation analysis from market data

Input:

Upload [MARKET DATA] (salary surveys, compensation benchmarks, benefits information, regional data)
Specify [COMPENSATION GOAL] (market competitive, cost optimization, retention focused, attraction strategy)
Indicate [EMPLOYEE SEGMENT] (all employees, specific roles, high performers, new hires)

Prompt:

Create compensation analysis for [EMPLOYEE SEGMENT] targeting [COMPENSATION GOAL] based on market data.

Output:

Segment-specific compensation analysis with goal-aligned recommendations and market positioning

Analyze recruiting performance from hiring data

Input:

Upload [HIRING DATA] (application rates, interview ratios, offer acceptance, time-to-hire, source effectiveness)
Specify [RECRUITING CHALLENGE] (low application volume, poor conversion rates, long hiring cycles, quality concerns)
Indicate [HIRING VOLUME] (occasional hires, regular recruiting, high-volume, seasonal spikes)

Prompt:

Analyze recruiting performance for [HIRING VOLUME] addressing [RECRUITING CHALLENGE] based on hiring data.

Output:

Volume-appropriate recruiting analysis with challenge-specific optimization strategies and process improvements

Create performance review framework from evaluation data

Input:

Upload [EVALUATION DATA] (current review processes, performance metrics, manager feedback, employee responses)
Specify [REVIEW FREQUENCY] (annual, semi-annual, quarterly, continuous feedback)
Indicate [PERFORMANCE FOCUS] (goal achievement, skill development, behavioral competencies, cultural fit)

Prompt:

Build performance review framework with [REVIEW FREQUENCY] cycle focusing on [PERFORMANCE FOCUS] based on evaluation data.

Output:

Frequency-appropriate review framework document with focus-area-specific evaluation criteria and development planning

Build training program from skill gap data

Input:

Upload [SKILL GAP DATA] (competency assessments, training needs, performance gaps, career development goals)
Specify [TRAINING SCOPE] (individual development, team training, organization-wide, leadership development)
Indicate [DELIVERY METHOD] (in-person workshops, online learning, mentoring, external programs)

Prompt:

Create training program for [TRAINING SCOPE] using [DELIVERY METHOD] based on skill gap data.

Output:

Document with scope-appropriate training program with delivery-method-matched content and implementation timeline

Analyze diversity metrics from workforce data

Input:

Upload [WORKFORCE DATA] (demographic information, hiring statistics, promotion rates, retention by group)
Specify [DIVERSITY FOCUS] (representation goals, inclusive culture, equitable processes, leadership diversity)
Indicate [IMPROVEMENT TIMELINE] (immediate actions, annual goals, multi-year strategy, ongoing commitment)

Prompt:

Analyze diversity metrics focusing on [DIVERSITY FOCUS] with [IMPROVEMENT TIMELINE] based on workforce data.

Output:

Focus-area-specific diversity analysis with timeline-appropriate action plans and measurement strategies

Create employee handbook from policy needs

Input:

Upload or input [POLICY NEEDS] (compliance requirements, company values, workplace procedures, legal obligations)
Specify [COMPANY CULTURE] (formal corporate, startup casual, remote-first, traditional office)
Indicate [EMPLOYEE COUNT] (under 25, 25-100, 100-500, 500+ employees)

Prompt:

Build employee handbook for [COMPANY CULTURE] with [EMPLOYEE COUNT] employees based on [POLICY NEEDS].

Output:

Culture-appropriate employee handbook document with employee-count-matched policies and procedures

Customer Success

Analyze customer health from usage data

Input:

Upload [USAGE DATA] (product usage, feature adoption, login frequency, support tickets)
Specify [BUSINESS MODEL] (SaaS subscription, one-time purchase, usage-based, freemium)
Indicate [HEALTH FOCUS] (churn prevention, expansion opportunity, engagement improvement, value realization)

Prompt:

Analyze customer health for [BUSINESS MODEL] focusing on [HEALTH FOCUS] based on usage data.

Output:

Business-model-specific health analysis with focus-area recommendations and intervention strategies

Create churn prevention strategy from customer data

Input:

Upload [CUSTOMER DATA] (churn history, customer profiles, cancellation reasons, support interactions)
Specify [CHURN PATTERN] (early churn, gradual decline, sudden drops, seasonal patterns)
Indicate [INTERVENTION CAPACITY] (high-touch personal, scalable programs, automated workflows, self-service resources)

Prompt:

Build churn prevention strategy for [CHURN PATTERN] using [INTERVENTION CAPACITY] based on customer data.

Output:

Pattern-specific prevention strategy document with capacity-appropriate intervention tactics and success metrics

Build onboarding optimization from success data

Input:

Upload [SUCCESS DATA] (onboarding completion rates, time-to-value, early usage patterns, feedback)
Specify [PRODUCT COMPLEXITY] (simple tool, moderate learning curve, complex platform, enterprise solution)
Indicate [ONBOARDING GOAL] (faster activation, higher completion, better retention, increased usage)

Prompt:

Optimize onboarding for [PRODUCT COMPLEXITY] targeting [ONBOARDING GOAL] based on success data.

Output:

Document with complexity-appropriate onboarding optimization with goal-focused improvements and milestone tracking

Analyze expansion opportunities from account data

Input:

Upload [ACCOUNT DATA] (current usage, feature adoption, team size, growth indicators, contract details)
Specify [EXPANSION TYPE] (upsell features, add users, increase usage, cross-sell products)
Indicate [ACCOUNT SEGMENT] (SMB, mid-market, enterprise, strategic accounts)

Prompt:

Identify expansion opportunities for [EXPANSION TYPE] in [ACCOUNT SEGMENT] based on account data.

Output:

Segment-appropriate expansion analysis with expansion-type-specific strategies and timing recommendations

Create customer feedback analysis from survey data

Input:

Upload [SURVEY DATA] (NPS scores, satisfaction ratings, feature requests, pain point feedback)
Specify [FEEDBACK PURPOSE] (product improvement, service enhancement, retention strategy, roadmap planning)
Indicate [CUSTOMER LIFECYCLE] (new customers, established users, long-term clients, at-risk accounts)

Prompt:

Analyze customer feedback for [FEEDBACK PURPOSE] focusing on [CUSTOMER LIFECYCLE] based on survey data.

Output:

Purpose-driven feedback analysis with lifecycle-specific insights and actionable improvement recommendations

Build success metrics framework from business goals

Input:

Upload or input [BUSINESS GOALS] (revenue targets, retention goals, satisfaction objectives, growth metrics)
Specify [CUSTOMER JOURNEY] (onboarding, adoption, expansion, advocacy, renewal)
Indicate [MEASUREMENT APPROACH] (leading indicators, lagging metrics, predictive scores, milestone tracking)

Prompt:

Create success metrics framework for [CUSTOMER JOURNEY] using [MEASUREMENT APPROACH] based on [BUSINESS GOALS].

Output:

Journey-appropriate metrics framework document with measurement-approach-matched KPIs and tracking systems

Analyze support ticket patterns from help desk data

Input:

Upload [HELP DESK DATA] (ticket volume, categories, resolution times, customer satisfaction, escalations)
Specify [SUPPORT GOAL] (reduce ticket volume, improve resolution time, increase satisfaction, prevent escalations)
Indicate [SUPPORT MODEL] (self-service focus, human-first, tiered support, specialized teams)

Prompt:

Analyze support patterns for [SUPPORT GOAL] using [SUPPORT MODEL] based on help desk data.

Output:

Goal-focused support analysis with model-appropriate optimization strategies and resource recommendations

Create customer journey mapping from touchpoint data

Input:

Upload [TOUCHPOINT DATA] (customer interactions, communication history, milestone events, feedback points)
Specify [JOURNEY FOCUS] (acquisition to onboarding, trial to paid, onboarding to value, renewal process)
Indicate [OPTIMIZATION PRIORITY] (reduce friction, increase engagement, improve outcomes, accelerate timeline)

Prompt:

Map customer journey for [JOURNEY FOCUS] prioritizing [OPTIMIZATION PRIORITY] based on touchpoint data.

Output:

Focus-area-specific journey mapping document with optimization-priority-matched improvement recommendations and action plans

Personal/Family

Create household budget from expense data

Input:

Upload [EXPENSE DATA] (bank statements, receipts, bills, spending records)
Specify [BUDGET GOAL] (reduce spending, save for goal, pay off debt, optimize allocation)
Indicate [FAMILY SIZE] (single person, couple, family with kids, multi-generational)

Prompt:

Build household budget for [FAMILY SIZE] targeting [BUDGET GOAL] based on expense data.

Output:

Family-size-appropriate budget with goal-focused recommendations and spending optimization strategies

Analyze investment portfolio from account statements

Input:

Upload [ACCOUNT STATEMENTS] (investment accounts, retirement plans, savings, performance data)
Specify [INVESTMENT GOAL] (retirement planning, wealth building, college funding, short-term savings)
Indicate [RISK TOLERANCE] (conservative, moderate, aggressive, age-appropriate)

Prompt:

Analyze investment portfolio for [INVESTMENT GOAL] with [RISK TOLERANCE] risk level based on account statements.

Output:

Goal-aligned portfolio analysis with risk-appropriate recommendations and rebalancing strategies

Build college planning strategy from family data

Input:

Upload or input [FAMILY DATA] (student info, financial situation, college preferences, timeline)
Specify [PLANNING TIMELINE] (starting early, 5+ years out, 2-5 years, immediate need)
Indicate [FUNDING APPROACH] (savings-focused, scholarship-based, loan-friendly, mixed strategy)

Prompt:

Create college planning strategy with [PLANNING TIMELINE] using [FUNDING APPROACH] based on [FAMILY DATA].

Output:

Timeline-appropriate college plan document with funding-approach-matched savings and application strategies

Create home maintenance schedule from property data

Input:

Upload or input [PROPERTY DATA] (home age, systems info, maintenance history, warranty information)
Specify [MAINTENANCE PRIORITY] (prevent major repairs, optimize costs, maintain value, safety focus)
Indicate [DIY CAPABILITY] (full DIY, basic tasks only, professional services, mixed approach)

Prompt:

Build home maintenance schedule prioritizing [MAINTENANCE PRIORITY] with [DIY CAPABILITY] based on [PROPERTY DATA].

Output:

Priority-focused maintenance schedule document with capability-matched task assignments and cost planning

Analyze insurance coverage from policy data

Input:

Upload or input [POLICY DATA] (insurance policies, coverage details, premium costs, claim history)
Specify [COVERAGE GOAL] (adequate protection, cost optimization, gap elimination, comprehensive coverage)
Indicate [LIFE STAGE] (young adult, new family, established household, approaching retirement)

Prompt:

Evaluate insurance coverage for [COVERAGE GOAL] appropriate for [LIFE STAGE] based on [POLICY DATA].

Output:

Goal-focused insurance analysis with life-stage-appropriate coverage recommendations and cost optimization

Build vacation planning from travel preferences

Input:

Upload or input [TRAVEL PREFERENCES] (destinations, budget, travel dates, activity interests, family needs)
Specify [BUDGET LEVEL] (budget-conscious, moderate spending, premium experience, luxury travel)
Indicate [TRAVEL STYLE] (adventure travel, relaxation, cultural exploration, family-friendly)

Prompt:

Create vacation plan with [BUDGET LEVEL] budget for [TRAVEL STYLE] based on [TRAVEL PREFERENCES].

Output:

Document with budget-level-appropriate vacation plan with travel-style-matched activities and booking recommendations

Create estate planning checklist from family situation

Input:

Upload or input [FAMILY SITUATION] (assets, family structure, dependents, financial goals, current documents)
Specify [ESTATE COMPLEXITY] (simple estate, moderate assets, complex holdings, business ownership)
Indicate [PLANNING URGENCY] (immediate need, standard timeline, future planning, periodic update)

Prompt:

Build estate planning checklist for [ESTATE COMPLEXITY] with [PLANNING URGENCY] based on [FAMILY SITUATION].

Output:

Document with complexity-appropriate estate planning checklist with urgency-matched priorities and professional guidance recommendations

Analyze home energy usage from utility data

Input:

Upload [UTILITY DATA] (energy bills, usage patterns, home specifications, appliance information)
Specify [EFFICIENCY GOAL] (reduce costs, environmental impact, comfort improvement, home value)
Indicate [IMPROVEMENT BUDGET] (minimal investment, moderate upgrades, major improvements, comprehensive renovation)

Prompt:

Analyze home energy usage for [EFFICIENCY GOAL] with [IMPROVEMENT BUDGET] based on utility data.

Output:

Goal-focused energy analysis with budget-appropriate efficiency improvements and ROI calculations