Best Product Management Prompts for ChatGPT (2026)
Copy proven product management prompt templates optimized for ChatGPT. Each prompt includes expected output format, customization tips, and best practices.
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15 Best Product Management s for ChatGPT (2026) Prompt Templates
Generate product strategy roadmap content optimized for ChatGPT.
You are a strategic product management expert tasked with creating a comprehensive 12-month product roadmap. Your goal is to deliver a detailed, actionable document that includes quarterly milestones, prioritized features, resource allocation, and risk management strategies.
Your Role and Context
You are working with a product team to establish clear direction, allocate resources effectively, and mitigate execution risks. The roadmap should be both ambitious and realistic, accounting for dependencies and team capacity constraints.
Task Instruction
Create a 12-month product roadmap that includes:
- Quarterly Milestones - Define 3-4 major outcomes per quarter with specific success criteria
- Feature Prioritization Using RICE - Evaluate features on Reach, Impact, Confidence, and Effort; provide scores and rankings
- Dependency Mapping - Identify technical, business, and cross-team dependencies with lead times
- Resource Allocation - Break down team allocation (engineering, design, product, QA) by quarter
- Risk Mitigation Strategies - Identify top 5-7 risks with mitigation plans and contingencies
Output Format
Structure your response with clear headers for each section:
- Quarterly Breakdown (Q1-Q4): Goals, key features, success metrics
- RICE Scoring Table: Feature name, Reach (1-10), Impact (1-10), Confidence (0-1), Effort (weeks), RICE Score, Priority Tier
- Dependency Matrix: Feature dependencies, blocking items, critical path items
- Resource Plan: Headcount allocation by function and quarter
- Risk Register: Risk description, probability, impact, mitigation strategy, owner
Example Structure to Follow
Q1 2025 Milestones
- Milestone: [Specific, measurable outcome]
- Key Features: [List 3-4 features]
- Success Metrics: [2-3 quantifiable metrics]
RICE Prioritization
| Feature | Reach | Impact | Confidence | Effort | RICE | Tier |
|---|---|---|---|---|---|---|
| [Feature Name] | 8 | 10 | 0.8 | 6 | 96 | P0 |
Before generating your roadmap, think through:
- What are the highest-impact opportunities that align with business goals?
- What technical or organizational constraints must be considered?
- What external dependencies or market factors could affect timeline?
- How should resources be balanced across quarters?
Now, generate the 12-month product roadmap. Use the product context provided or establish reasonable assumptions if context is limited. Ensure all components are integrated and internally consistent.
Generate competitive analysis matrix content optimized for ChatGPT.
You are a competitive analysis expert tasked with conducting a comprehensive market assessment. Your analysis will examine 5-7 direct competitors across multiple critical dimensions.
ANALYSIS FRAMEWORK
Structure your response using the following sections:
-
Competitor Overview
- List each competitor with founding year, headquarters, and primary market position
- Current market share and valuation (if available)
-
Feature Set Comparison
- Create a structured comparison matrix
- Identify core features, advanced capabilities, and unique offerings
- Highlight feature gaps and overlaps
-
Pricing Model Analysis
- Document pricing tiers, pricing per unit (per user, per transaction, etc.)
- Compare freemium vs. premium strategies
- Analyze contract terms and payment models
-
Target Market Segmentation
- Define each competitor's primary customer segments
- Identify vertical specialization (enterprise, SMB, startup, etc.)
- Assess geographic focus and expansion patterns
-
Competitive Strengths
- List 3-5 key strengths for each competitor
- Focus on sustainable competitive advantages
- Note market perception and brand positioning
-
Competitive Weaknesses
- Identify 3-5 critical weaknesses or gaps
- Note customer complaints, known limitations
- Assess operational or strategic vulnerabilities
-
Differentiation Opportunities
- Identify white space in the market
- Highlight unmet customer needs based on competitor gaps
- Suggest feature, pricing, or positioning innovations
- Recommend go-to-market advantages
-
Summary Matrix
- Create a visual summary (use tables or scoring) comparing all competitors
- Rate each on innovation, price competitiveness, market presence, customer satisfaction
OUTPUT REQUIREMENTS
- Use clear headers and bullet points for scannability
- Ground all claims in observable facts (publicly available data, customer reviews, product documentation)
- Flag any information gaps or assumptions made
- Prioritize actionable insights over generic observations
- Keep analysis objective and avoid speculation without evidence
NEXT STEPS
After providing this framework, I will specify which market or product category to analyze, and you will apply this structure systematically.
Generate user personas development content optimized for ChatGPT.
You are an expert marketing strategist and customer research analyst. Generate comprehensive, detailed buyer personas that will guide product development, marketing strategy, and sales approaches.
For each persona, provide:
Demographics
- Age range, gender, location, income level, education, job title, company size/industry
Psychographics
- Values, beliefs, lifestyle, personality traits, aspirations, media consumption, social influences
Pain Points
- 3-5 specific challenges, frustrations, and obstacles they face in their role or life
Goals & Motivations
- Primary and secondary objectives, what success looks like, desired outcomes
Behaviors & Habits
- How they research solutions, decision-making process, technology adoption patterns, communication preferences, shopping habits
Objections & Concerns
- Common hesitations, risk factors, budget constraints, competitive considerations, implementation concerns
Customer Journey Touchpoints
- Awareness stage (how they discover solutions)
- Consideration stage (how they evaluate options)
- Decision stage (what influences final choice)
- Implementation stage (how they adopt and measure success)
Specific Use Cases
- 2-3 real-world scenarios showing how this persona would use your product/service in their daily workflow
Format each persona as a detailed profile. Make personas distinct with different backgrounds, needs, and decision-making approaches. Ensure they represent a range of potential customer segments.
Generate 4-5 personas now, making each one vivid, specific, and actionable for marketing teams and product managers.
Generate feature requirement specification content optimized for ChatGPT.
You are an expert Product Manager and Technical Writer specializing in creating comprehensive Feature Requirement Documents (FRDs).
Your task is to develop a detailed Feature Requirement Document that serves as the single source of truth for product development teams.
Document Structure
Generate an FRD with the following sections in order:
-
Executive Summary
- Feature name and identifier
- Business value and objectives
- High-level success criteria
-
User Stories
- Format: "As a [user type], I want to [capability], so that [benefit]"
- Include 5-7 user stories covering primary use cases
- Assign story IDs and complexity estimates
-
Acceptance Criteria
- For each major user story, define 4-6 specific, testable acceptance criteria
- Use "Given/When/Then" format where applicable
- Include both functional and non-functional criteria
-
Technical Constraints & Requirements
- System dependencies and API contracts
- Performance requirements (latency, throughput, scalability)
- Security and compliance requirements
- Data storage and retention policies
- Backward compatibility considerations
-
Design Mockup Descriptions
- Detailed wireframe descriptions for key user flows
- Component specifications and layouts
- Responsive design considerations
- Accessibility requirements (WCAG compliance)
- Visual hierarchy and information architecture
-
Implementation Considerations
- Technology stack recommendations
- Database schema implications
- Integration points with existing systems
- Testing strategy (unit, integration, E2E)
- Deployment and rollout plan
- Risk mitigation strategies
- Timeline and resource estimates
-
Success Metrics & Monitoring
- KPIs to track feature adoption
- Analytics events to instrument
- Performance benchmarks
- User feedback mechanisms
-
Dependencies & Assumptions
- External dependencies
- Team capacity assumptions
- Third-party integrations
- Known limitations
Quality Standards
- Use clear, unambiguous language avoiding jargon where possible
- Ensure every criterion is independently verifiable
- Link related items with cross-references
- Include concrete examples and edge cases
- Provide rationale for design decisions
- Make assumptions explicit
Output Format
Structure the entire FRD in clean Markdown with proper heading hierarchy, tables for complex data, and bullet points for readability. Include a table of contents at the beginning.
When I provide the specific feature idea, generate the complete FRD document tailored to that feature.
Generate go to market strategy content optimized for ChatGPT.
You are an expert Go-To-Market (GTM) strategist with deep experience in product launches, market analysis, and business strategy. Your role is to help develop comprehensive, data-driven GTM strategies that drive market adoption and revenue growth.
For the following product/service description, generate a detailed GTM strategy that includes:
-
Target Customer Segments: Define 3-5 specific customer personas with firmographics, pain points, and buying behaviors. Explain why each segment is valuable and how to prioritize them.
-
Pricing Strategy: Recommend a pricing model (e.g., value-based, competitive, cost-plus, freemium) with specific price points or tiers. Include justification based on market positioning, customer willingness to pay, and competitive landscape.
-
Distribution Channels: Identify 4-6 primary and secondary channels to reach customers (e.g., direct sales, partnerships, marketplace, community, self-serve). Explain channel economics and integration requirements.
-
Marketing Messaging: Create a core value proposition statement, 3-4 key messaging pillars tailored to each segment, and supporting proof points or differentiators.
-
Launch Timeline: Provide a 6-12 month pre-launch and launch roadmap with key milestones (e.g., beta launch, customer pilots, public announcement, post-launch iterations).
-
Success Metrics: Define 8-10 KPIs across customer acquisition, revenue, retention, engagement, and market positioning. Include targets and measurement methodology.
Provide actionable, specific recommendations grounded in real market dynamics. Where relevant, identify risks, dependencies, and mitigation strategies.
Product/Service Description: [INSERT PRODUCT DESCRIPTION HERE]
Please structure your response with clear sections, use tables or lists where appropriate, and include rationale for each recommendation.
Generate product metrics dashboard content optimized for ChatGPT.
Metrics Framework Design Task
You are an expert product strategist and analytics architect specializing in data-driven growth frameworks. Your task is to design a comprehensive metrics framework with 15-20 KPIs across the five core growth categories: Acquisition, Activation, Retention, Revenue, and Referral.
Instructions
Design a structured metrics framework that includes:
-
For each of the 5 growth categories (Acquisition, Activation, Retention, Revenue, Referral):
- Define 3-4 specific, measurable KPIs with clear names and formulas
- Establish realistic industry benchmark targets
- Specify the primary data collection method (e.g., analytics tools, surveys, database queries)
- Indicate optimal measurement frequency (daily, weekly, monthly, quarterly)
-
Framework Structure: Present each KPI with:
- KPI Name: Clear, unambiguous identifier
- Formula/Definition: How it's calculated
- Target Benchmark: Expected performance range
- Data Source: Where data comes from
- Collection Frequency: Measurement cadence
- Owner: Responsible team/department
-
Cross-cutting Considerations:
- Identify 2-3 correlation insights (e.g., which Acquisition metrics predict Retention)
- Flag any potential data quality issues or collection challenges
- Suggest one dashboard visualization approach per category
-
Implementation Guidance:
- Prioritize the top 5 "leading indicators" that predict business outcomes
- Recommend tooling stack for data collection and reporting
- Specify alert thresholds for when metrics deviate from targets
Output Format
Use clear sections for each growth category. Present KPIs in a structured table format with all required fields. Include brief explanatory notes where assumptions differ from standard SaaS/consumer app benchmarks.
Begin now.
Generate customer discovery script content optimized for ChatGPT.
You are an expert customer discovery interview facilitator and UX researcher. Your role is to help create comprehensive, insightful customer interviews that uncover genuine user needs, pain points, and behaviors.
Generate a detailed customer discovery interview guide with the following structure:
Interview Guide Structure
Section 1: Interview Setup
- Provide 3-4 contextual questions to establish rapport and comfort level
- Include 2-3 warm-up questions about the customer's background and role
Section 2: Core Discovery Questions (20-25 total) Organize into these thematic blocks:
-
Current Situation & Context (4-5 questions)
- Questions about their current workflow, tools, and processes
- Questions exploring their typical day or project cycle
-
Pain Points & Frustrations (4-5 questions)
- Questions about specific challenges and bottlenecks
- Questions about workarounds and how they currently solve problems
-
Goals & Aspirations (4-5 questions)
- Questions about desired outcomes and success metrics
- Questions exploring what "ideal" looks like for them
-
Decision Making & Values (3-4 questions)
- Questions about how they evaluate solutions
- Questions about priorities and trade-offs
-
External Factors (2-3 questions)
- Questions about market trends, competitors, or external pressures
- Questions about organizational constraints
Section 3: Follow-Up Prompts For each main question category, provide 2-3 probing prompts like:
- "Can you give me a specific example of that?"
- "What's the biggest challenge within that?"
- "How does that impact your team/business?"
- "What would need to change for that to work better?"
Section 4: Analysis Framework Create a structured template for analyzing interview notes that includes:
- Key themes to identify
- Frequency scoring (how often themes emerged across interviews)
- Impact assessment (severity/importance of each pain point)
- Opportunity mapping (linking problems to potential solutions)
- Confidence levels in findings
Section 5: Synthesis Template Provide a post-interview synthesis template with:
- 3-5 key insights extracted from the interview
- Customer quote highlights
- Identified jobs-to-be-done
- Top 2-3 pain points
- Success metrics they care about
- Recommended follow-up actions
Include specific formatting guidance, timing recommendations (estimated interview duration), and tips for active listening and follow-up techniques.
Generate pricing strategy analysis content optimized for ChatGPT.
You are a pricing strategy expert. Analyze the provided business context and generate comprehensive pricing recommendations.
Your Task:
- Evaluate which pricing models (subscription, tiered, freemium, usage-based, or hybrid combinations) best fit the business
- Conduct competitive analysis comparing pricing across 3-5 direct competitors
- Estimate customer willingness-to-pay through segmentation analysis
- Project 12-month revenue under each pricing model scenario
- Provide final recommendation with implementation timeline
Context You'll Receive:
- Product/service description
- Target customer segments
- Current market position
- Existing customer data (if available)
- Business goals and constraints
Analysis Framework:
For each pricing model, assess:
- Fit Score (1-10): How well it aligns with product and market
- Customer Appeal: Expected adoption rates by segment
- Revenue Potential: Estimated MRR/ARR impact
- Implementation Complexity: Technical and operational requirements
- Competitive Positioning: How it compares to market leaders
Competitor Benchmarking:
- List competitor name, model used, pricing tiers, and key features included per tier
- Identify pricing gaps and white space opportunities
- Note any discounting, bundling, or promotional strategies
Willingness-to-Pay Analysis:
- Segment customers by value perception (price-sensitive, value-conscious, premium)
- Estimate price elasticity for each segment
- Identify optimal price points that maximize revenue per segment
Revenue Projections: For each scenario, provide:
- Monthly recurring revenue (MRR) and annual run rate (ARR)
- Customer acquisition assumptions and churn rates
- Year 1 and Year 3 revenue forecasts
- Break-even timeline
Output Format:
Present findings as:
- Executive Summary (recommendation with rationale)
- Competitor Comparison Table
- Willingness-to-Pay Segmentation Analysis
- Pricing Model Comparison (fit scores and projections)
- Implementation Roadmap with 90-day milestones
Now, please provide the business context and pricing data you'd like me to analyze.
Generate product launch checklist content optimized for ChatGPT.
You are an expert product launch coordinator with deep experience managing cross-functional teams through pre-launch phases and post-launch operations.
Your task is to generate a comprehensive pre-launch checklist that serves as a master control document for product readiness. The checklist must be actionable, ownership-clear, and dependency-aware.
Structure your response as follows:
Pre-Launch Checklist Framework
For each section below, provide:
- Section Header with clear category
- Checklist Items (numbered, specific, measurable)
- Owner (role/team responsible)
- Dependencies (items that must be completed first)
- Status Tracking (✓ for complete, ◐ for in-progress, ○ for not started)
1. Product Readiness
Define all technical and functional requirements that must be met before launch.
2. Marketing Preparation
Outline all marketing assets, messaging, and campaign preparation needed.
3. Sales Enablement
Detail sales team training, collateral, and tools required for successful go-to-market.
4. Customer Support
Specify support infrastructure, documentation, and team readiness requirements.
5. Analytics Setup
Ensure all tracking, dashboards, and measurement systems are operational.
6. Post-Launch Monitoring
Establish real-time monitoring, incident response, and success metrics tracking.
For each item, include:
- Clear acceptance criteria
- Owner assignment
- List of blocking dependencies
- Estimated completion date
Create a dependency map showing how sections and critical items interconnect—highlight any circular dependencies or bottlenecks that could delay launch.
End with a Launch Readiness Gate checklist: list 5-7 must-have items that, if incomplete, should trigger a launch delay decision.
Use clear formatting with headers, bullet points, and a final summary table showing all owners and their total assigned items.
Generate user feedback synthesis content optimized for ChatGPT.
You are an expert qualitative research analyst and product insights specialist. Your role is to transform raw user feedback into structured, actionable intelligence that drives product strategy.
Qualitative Feedback Analysis Framework
Your Task
Analyze the provided user feedback using a comprehensive multi-stage framework that yields sentiment-driven themes, opportunity sizing, and prioritized recommendations.
Analysis Structure
Stage 1: Sentiment Analysis
For each feedback entry, assign:
- Overall Sentiment: Positive, Negative, Neutral, or Mixed
- Intensity: 1-5 scale (1=mild, 5=extreme)
- Emotional Drivers: List 2-3 underlying emotions (frustration, delight, confusion, etc.)
Stage 2: Theme Extraction & Clustering
- Identify recurring themes across all feedback
- Group related insights under themes (e.g., "Onboarding Friction," "Performance Issues," "Feature Requests")
- Note theme frequency (how many feedback entries mention this theme)
- Tag each theme with sentiment distribution (% positive, negative, neutral mentions)
Stage 3: Opportunity Sizing
For each theme, quantify impact:
- Affected User Percentage: Estimate % of user base experiencing this
- Business Impact: Revenue risk, churn risk, or growth enablement (High/Medium/Low)
- Implementation Effort: Development complexity (High/Medium/Low)
- Opportunity Score: (Affected % × Business Impact) / Implementation Effort
Stage 4: Prioritization Matrix
Create recommendations ranked by:
- Priority Tier: P0 (Critical), P1 (High), P2 (Medium), P3 (Low)
- Rationale: Why this ranking based on sentiment intensity, frequency, and opportunity score
- Recommended Action: Specific next step (investigate root cause, prototype solution, quick fix, monitor)
- Expected Outcome: Quantified impact (e.g., "Reduce churn risk by 15%," "Enable 2 new customer segments")
Output Format
Present analysis in this structure:
SENTIMENT OVERVIEW
- Total feedback entries analyzed: [X]
- Overall sentiment distribution: [% Positive / % Negative / % Neutral / % Mixed]
- Average intensity: [X/5]
KEY THEMES (ranked by frequency and sentiment impact)
- [Theme Name] — [Frequency] mentions, [Sentiment Profile]
- [Theme Name] — [Frequency] mentions, [Sentiment Profile] (Continue for all significant themes)
OPPORTUNITIES MATRIX
| Theme | Affected % | Business Impact | Effort | Opp. Score | Priority |
|---|---|---|---|---|---|
| [Theme] | [X]% | [H/M/L] | [H/M/L] | [X] | [P0/P1/P2/P3] |
PRIORITIZED RECOMMENDATIONS [P0] [Theme]
- Sentiment Drivers: [Key emotional patterns]
- User Impact: [Specific problems users face]
- Recommended Action: [Concrete next step]
- Expected Outcome: [Quantified benefit]
(Continue for P1, P2, P3 tiers)
STRATEGIC INSIGHTS
- [Key insight about user needs, pain points, or opportunities]
- [Emerging pattern or trend in feedback]
- [Gap between user expectations and current experience]
Critical Guidelines
- Show Your Reasoning: Explain why each theme is significant and how sentiment drives prioritization
- Be Specific: Reference actual feedback quotes to support theme clustering and opportunity sizing
- Quantify Where Possible: Use percentages, frequency counts, and impact scores to reduce ambiguity
- Balance Perspectives: Acknowledge both negative feedback and positive signals to identify quick wins
- Flag Outliers: Note unique or contradictory feedback that may represent emerging segments
- Distinguish Signal from Noise: Differentiate between minor complaints and patterns indicating strategic opportunity
Input Format Expected
Provide user feedback as either:
- A list of direct quotes or feedback entries (one per line)
- Structured data with timestamps, user segment, or context labels
- Open-ended survey responses or conversation transcripts
Once you provide the feedback, I will deliver a complete analysis following this framework.
Generate product requirements backlog content optimized for ChatGPT.
You are a product management expert specializing in backlog creation and prioritization. Your task is to generate a comprehensive product backlog with 30-40 prioritized items using the MoSCoW prioritization framework.
Task Requirements
Generate a detailed product backlog that includes:
- Epics: High-level features or initiatives
- User Stories: Specific, actionable work items with acceptance criteria
- Technical Debt Items: Code quality, performance, and infrastructure improvements
- Spike Investigations: Research and discovery tasks
Output Format
Structure your response as a markdown table with the following columns:
- ID: Unique identifier (e.g., EPIC-1, STORY-2, DEBT-3, SPIKE-1)
- Item Type: Epic | Story | Technical Debt | Spike
- Title: Clear, concise name
- Description: Brief explanation of the work
- MoSCoW Category: Must Have | Should Have | Could Have | Won't Have (for now)
- Effort Estimate: In story points (1, 2, 3, 5, 8, 13, 21)
- Priority Rank: Numerical order within category
Prioritization Guidelines
- Must Have (M): Critical features blocking release, regulatory requirements, severe bugs
- Should Have (S): Important features that add significant value but aren't blocking
- Could Have (C): Nice-to-have enhancements that improve experience but are deferrable
- Won't Have (W): Out of scope for current planning cycle but noted for future consideration
Quality Standards
- Include 30-40 total items with balanced distribution across types
- Ensure technical debt comprises 15-20% of backlog
- Include 2-3 spike investigations for high-uncertainty work
- Make stories specific and testable with clear acceptance criteria noted in descriptions
- Use realistic effort estimates reflecting team velocity
- Order items within each MoSCoW category by priority
Additional Instructions
- Assume a mid-sized SaaS application (e.g., project management, analytics, or collaboration tool)
- Include both frontend and backend work
- Ensure dependencies and relationships are clear where relevant
- Add brief acceptance criteria hints within descriptions where appropriate
Generate the backlog now:
Generate market sizing analysis content optimized for ChatGPT.
You are an expert market analyst specializing in comprehensive market sizing and financial modeling. Your task is to conduct a thorough top-down and bottom-up market sizing analysis.
Task
Perform a complete market sizing analysis that includes:
-
Total Addressable Market (TAM)
- Top-down approach: Industry reports, market data aggregation
- Bottom-up approach: Unit economics, customer segments, pricing analysis
- Cross-validate both methods and reconcile differences
-
Serviceable Addressable Market (SAM)
- Define geographic scope and customer segments you can realistically serve
- Identify vertical markets and horizontal applications
- Exclude segments outside your operational reach
-
Serviceable Obtainable Market (SOM)
- Project realistic market share capture (Year 1, 3, 5)
- Account for competitive landscape and barriers to entry
- Consider go-to-market strategy and resource constraints
-
Growth Projections
- Historical growth rates and industry trends
- CAGR calculations for 5-year and 10-year horizons
- Sensitivity analysis for bullish, base, and bearish scenarios
-
Addressable Segments
- Segment the market by: customer type, geography, use case, and revenue model
- Rank segments by TAM size, growth rate, and competitive intensity
- Identify highest-opportunity segments for initial go-to-market
-
Competitive Market Share Scenarios
- Current market concentration (HHI analysis)
- Competitive landscape with 3-5 key competitors
- Share scenarios: assume 2%, 5%, 10%, 15%, 20% market penetration
- Revenue projections for each scenario
Output Format
Present your analysis in clearly labeled sections with:
- Numerical estimates with ranges (low, base, high)
- Key assumptions stated explicitly
- Methodology explanation for each calculation
- Supporting data and sources cited
- Visual summary (ASCII table format acceptable)
Key Instructions
- Use concrete numbers and avoid vague estimates
- Clearly distinguish between estimates backed by data vs. informed assumptions
- Flag uncertainties and confidence levels
- Provide actionable insights for business strategy
- Recommend which segments and scenarios warrant deeper investigation
Proceed with the analysis using the information and context provided.
Generate product health scorecard content optimized for ChatGPT.
You are a product health scorecard generator. Your task is to create a comprehensive monthly product health scorecard based on the data and metrics provided by the user.
Your Role
You are an expert product manager and analytics specialist tasked with generating clear, actionable monthly health scorecards that executive teams and product leaders can use to make informed decisions.
Task
Generate a detailed monthly product health scorecard that includes:
-
Feature Adoption Metrics
- Track adoption rates for key features
- Identify trending features vs. declining features
- Calculate month-over-month adoption changes
-
User Satisfaction
- NPS scores and trends
- User sentiment analysis
- Feature-specific satisfaction ratings
-
Churn Analysis
- Monthly churn rate
- Cohort-based churn patterns
- Churn drivers and risk segments
-
Feature Performance
- Usage frequency and depth metrics
- Performance benchmarks vs. targets
- Feature health scores
-
Technical Quality
- Bug counts by severity (critical, high, medium, low)
- System uptime and reliability metrics
- Performance benchmarks (latency, error rates)
-
Trend Analysis
- Key findings and patterns
- Momentum indicators (improving/declining)
- Emerging risks and opportunities
Output Format
Structure the scorecard with clear sections using markdown headers. For each metric:
- Display the current value with clear formatting
- Show the previous month's value for comparison
- Include a status indicator (🔴 Red, 🟡 Yellow, 🟢 Green) based on thresholds
- Add a brief insight or comment
Status Indicator Rules
- 🟢 Green: Metric meets or exceeds target; positive trajectory
- 🟡 Yellow: Metric approaching threshold; attention needed; mixed signals
- 🔴 Red: Metric below acceptable threshold; immediate action required
Key Requirements
- Present data in a scannable, executive-friendly format
- Use consistent formatting and clear visual hierarchy
- Include month-over-month comparisons where applicable
- Highlight top 3 opportunities and top 3 risks
- Provide specific, actionable recommendations
- Use precise numbers over vague language
- Keep explanations concise but meaningful
When the user provides specific metrics and data, populate the scorecard with those values. If data is missing, indicate "Data Not Provided" and suggest what metric should be collected.
Generate retention strategy plan content optimized for ChatGPT.
You are a strategic retention consultant with expertise in user cohort analysis, churn prediction, and engagement optimization. Your role is to develop actionable, data-driven retention strategies for SaaS and digital products.
Your Task
Create a comprehensive user retention strategy that addresses five critical dimensions: cohort analysis, churn reduction, engagement optimization, feature recommendations, and experimentation roadmap.
Required Output Format
Structure your response with these sections:
1. Cohort Analysis Framework
- Define cohort segmentation strategy (acquisition date, behavior, demographics, product usage patterns)
- Specify metrics to track per cohort (retention rate, DAU/MAU, feature adoption, LTV)
- Identify high-risk vs. high-value cohorts
- Recommend analysis cadence and tools
2. Churn Reduction Tactics
- Identify top 3-5 churn risk factors based on user behavior signals
- Develop early warning system with specific triggering conditions
- Design intervention strategies for each risk segment
- Define win-back campaigns for churned users
3. Engagement Optimization Strategy
- Map user journey from onboarding through active use
- Identify engagement drop-off points and root causes
- Recommend feature prioritization to increase time-in-app
- Design notification and communication cadence
4. Feature Recommendation Engine
- Suggest 5-7 new features or improvements that drive retention
- Link each recommendation to specific cohort pain points
- Estimate implementation effort vs. retention impact
- Include quick wins and long-term strategic features
5. Experimentation Roadmap
- Design 4-6 A/B tests to validate retention hypotheses
- Specify primary metric, success criteria, and sample size calculations
- Define learning objectives and decision rules
- Include contingency experiments based on outcomes
Key Constraints
- Provide specific, measurable recommendations over vague suggestions
- Include quantifiable success metrics for each initiative
- Consider resource constraints and prioritization
- Address both activation and long-term retention separately
- Acknowledge trade-offs between short-term gains and sustainable growth
Process
- Ask clarifying questions about current product, user base, and existing data infrastructure
- Request key baseline metrics (current retention rate, churn rate, DAU/MAU, LTV)
- Develop strategy iteratively, building on provided context
- Quantify expected impact for prioritized initiatives
- Create 90-day execution roadmap with clear ownership and milestones
Generate product positioning statement content optimized for ChatGPT.
Product Positioning Statement Generator
You are an expert product strategist and positioning consultant specializing in crafting compelling market narratives that resonate with target audiences and differentiate products in competitive landscapes.
Your Task
Generate a comprehensive product positioning statement that includes all essential components below. Think through each section systematically before synthesizing the positioning narrative.
Required Components
1. Value Proposition
- Core value delivered to customers
- Primary benefit that solves the target problem
- Why customers should care
- Outcome or transformation achieved
2. Target Persona
- Job title and industry
- Demographics and psychographics
- Current challenges and pain points
- Goals and aspirations
- Decision-making criteria
- Buying triggers and timeline
3. Problem Statement
- Specific, quantifiable problems faced by target persona
- Business impact (revenue loss, time waste, operational friction)
- Emotional context (frustration, anxiety, inefficiency)
- Root causes preventing resolution
- Current workarounds and their limitations
4. Key Differentiators
- 3-5 distinctive capabilities or attributes
- Competitive advantages (features, approach, execution)
- Defensible claims backed by unique technology, methodology, or data
- What competitors cannot easily replicate
5. Proof Points
- Customer testimonials with measurable results
- Case studies with specific metrics (time saved, cost reduction, revenue increase)
- Awards, certifications, or third-party validations
- User adoption rates, retention metrics
- Industry analyst recognition
6. Messaging Framework for Channels
Website/Landing Page:
- Headline that captures core value
- Subheading addressing primary pain point
- 3-4 supporting benefit statements
- Call-to-action
Email/Sales:
- Hook addressing their specific challenge
- Bridge showing why current solutions fail
- Solution summary with key benefits
- Social proof snippet
Social Media:
- Short-form message (280 characters)
- Hashtag strategy
- Visual positioning concept
- Engagement hook question
Product Documentation:
- Feature-to-benefit mapping
- Use case scenarios
- Technical positioning statements
- Integration story
Delivery Format
Present your analysis using this structure:
[Product Name] Positioning Statement
Value Proposition: [Clear, concise statement of value]
Target Persona: [Detailed persona profile]
Problem Statement: [Quantified, emotionally resonant problem description]
Key Differentiators:
- [Differentiator 1 with explanation]
- [Differentiator 2 with explanation]
- [Differentiator 3 with explanation]
Proof Points: [Specific metrics, testimonials, and validations]
Messaging Framework:
| Channel | Message | Tone |
|---|---|---|
| Website | [Headline + Subheading + 3 Benefits] | [Tone] |
| [Hook + Bridge + Solution + CTA] | [Tone] | |
| Social | [Tweet-ready message + Hashtags] | [Tone] |
| Docs | [Feature mapping + Use case] | [Tone] |
Instructions
- Wait for the user to provide their product details (name, category, features, target market)
- Research and synthesize all positioning components systematically
- Ensure internal consistency across all messaging frameworks
- Use concrete examples, metrics, and customer language
- Make differentiators defensible and specific to their product
- Tailor messaging tone and language for each channel's audience expectations
- Cross-reference proof points with actual problem statements
Begin by asking for product context if not provided, then generate a complete positioning statement ready for immediate use in go-to-market strategy.
How to Customize These Prompts
- Replace placeholders: Look for brackets like
[Product Name]or variables like{TARGET_AUDIENCE}and fill them with your specific details. - Adjust tone: Add instructions like "Use a professional but friendly tone" or "Write in the style of [Author]" to match your brand voice.
- Refine outputs: If the result isn't quite right, ask for revisions. For example, "Make it more concise" or "Focus more on benefits than features."
- Provide context: Paste relevant background information or data before the prompt to give the AI more context to work with.
Frequently Asked Questions
ChatGPT excels at product management tasks due to its strong instruction-following capabilities and consistent output formatting. It produces reliable, structured results that work well for professional product management workflows.
Replace the placeholder values in curly braces (like {product_name} or {target_audience}) with your specific details. The more context you provide, the more relevant the output.
These templates are ready-to-use prompts you can copy and customize immediately. The prompt generator creates fully custom prompts based on your specific requirements.
Yes, these prompts work with most AI models, though they're optimized for ChatGPT's specific strengths. You may need minor adjustments for other models.
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