AI Prompts Library

I'm pricing [PRODUCT/SERVICE]. Help me think through it.

Context:
- Cost to deliver: [COST]
- Closest competitor's price: [COMPETITOR PRICE]
- Target customer: [PERSONA + PAIN]
- Market position desired: [PREMIUM / VALUE / DISRUPTIVE]

Provide:
1. Three pricing approaches (cost-plus, value-based, competitive) with pros/cons for my situation
2. A recommended price point with reasoning
3. Recommended pricing structure (one-time / subscription / tiered / usage-based)
4. Three psychological pricing techniques relevant here (anchoring, decoy, charm pricing, etc.)
5. The biggest pricing risk and how to test cheaply before committing

Be direct, not corporate. I want a decision, not a menu.

Generate a 30-minute customer discovery interview script for a [PRODUCT TYPE] targeting [PERSONA].

The interview should follow Mom Test principles - past behavior over future hypotheticals, specifics over generalities, learn before pitch.

Include:
1. 2 warm-up questions to build rapport
2. 6-8 problem-discovery questions (about their existing workflow and pain)
3. 3-4 questions to validate problem severity
4. 2 questions to understand current alternatives
5. 1-2 questions to gauge willingness to pay (without leading)
6. A closing that doesn't pitch the product

For each question, briefly explain what insight you're trying to extract.

Below is my pitch deck content. Tell me what's weak.

[PASTE DECK NOTES OR SECTION-BY-SECTION SUMMARY]

Review as a skeptical Series A investor. For each section, answer:
1. Is the claim believable? Any unsupported assertions?
2. Is the math defensible? Any obvious holes?
3. Is this actually distinct, or am I describing a wishful-thinking version of myself?
4. Where would a thorough investor's first follow-up question land?

Then give me the 3 most damaging weaknesses overall and how to fix each.

Be blunt. Diplomacy is wasting my time.

Build a competitive analysis matrix for [PRODUCT CATEGORY].

My product: [BRIEF DESCRIPTION]
Direct competitors: [LIST 3-5]

Produce:
1. Feature comparison matrix (what do they have, what don't they have)
2. Pricing comparison
3. Target segment for each (where they win, where they lose)
4. Public reviews / known complaints (cite if you have specifics)
5. The strategic gap - where competitors are uniformly weak that my product could exploit
6. The strategic risk - where competitors are uniformly strong that I cannot compete on directly

Finish with a 2-sentence recommendation: where I should position vs. where I should not.

Generate quarterly OKRs for [TEAM / DEPARTMENT].

Company context: [WHAT THE COMPANY DOES]
Team mission: [WHAT THIS TEAM IS FOR]
Quarter focus: [STRATEGIC PRIORITY]

Produce 2-3 Objectives, each with 3-4 Key Results.

Objectives must be:
- Aspirational and qualitative
- Tied to the strategic priority
- Memorable in one sentence

Key Results must be:
- Numeric and binary-measurable
- Outcomes, not activities (no "ship feature X")
- A stretch - uncomfortable but plausibly achievable
- Time-bound to the quarter

Flag any KR that is actually a project disguised as an outcome - those need rewriting.

Write a job description for [ROLE TITLE].

Company: [BRIEF COMPANY DESCRIPTION]
Team: [TEAM CONTEXT]
Level: [JUNIOR / MID / SENIOR / STAFF / DIRECTOR]
Must-have skills: [LIST]
Nice-to-have: [LIST]
What success looks like in 6 months: [DESCRIBE]

Write:
1. A role title (avoid inflated language)
2. A 2-paragraph 'About the role' that sells the actual work, not the company
3. Outcomes-based responsibilities (not activity lists)
4. Honest must-haves (the things that will actually trigger rejection)
5. Honest nice-to-haves
6. Compensation range (specific, not 'competitive')
7. What working here is actually like (the truth, not the brochure)

Avoid "rockstar", "ninja", "family", "fast-paced", "work hard play hard" - they tell candidates we're amateurs.

Help me diagnose churn for [PRODUCT].

Context:
- Current churn rate: [%]
- Industry benchmark: [%]
- Top 5 reasons users churn (per exit surveys / cancellation flow): [LIST]
- Lifecycle stage where churn peaks: [ONBOARDING / 30-90 DAYS / 6+ MONTHS]
- Pricing tier with worst churn: [TIER]

Produce:
1. Top 3 likely root causes, ranked by evidence strength
2. For each, the cheapest experiment to validate
3. Ranked list of interventions (highest impact, lowest effort first)
4. Metrics to track post-intervention to know if it worked
5. A reasonable expected churn improvement if interventions land

Don't suggest "build a customer success team" unless I asked for capital-intensive options.

Help me run a 90-minute quarterly strategy review.

Context:
- Last quarter's goals: [LIST]
- What landed: [LIST]
- What slipped: [LIST]
- Major surprises: [LIST]
- Current strategic priorities for next quarter: [LIST]

Produce:
1. Agenda with timed sections (90 min total)
2. 5-7 hard questions to ask the team for each section
3. The single most important decision the team should walk out having made
4. A pre-read document the team should review beforehand (3-paragraph max)
5. Post-meeting follow-up template

The goal is honesty and decisions, not theater.

You are a startup advisor and business strategist. Create a comprehensive Business Model Canvas for the described business idea.

**Business Idea:** [DESCRIBE YOUR BUSINESS]
**Industry:** [INDUSTRY]
**Stage:** [Idea / MVP / Growth / Scale]
**Target Market:** [PRIMARY_MARKET]

**Generate a complete Business Model Canvas:**

1. **Customer Segments:**
   - Primary segment with demographic and psychographic profile
   - Secondary segments
   - Early adopter profile (who will buy first and why)
   - Market size estimate (TAM, SAM, SOM)

2. **Value Propositions:**
   - Core value proposition (one sentence)
   - For each customer segment: specific pain reliever or gain creator
   - Unique differentiators vs. competitors
   - Value proposition canvas: Customer jobs, pains, and gains mapped to your features

3. **Channels:**
   - Awareness: How customers discover you
   - Evaluation: How they assess your offering
   - Purchase: How they buy
   - Delivery: How you deliver the product/service
   - After-sales: How you provide support
   - Rank channels by cost-effectiveness and scalability

4. **Customer Relationships:**
   - Acquisition strategy
   - Retention strategy
   - Expansion/upsell strategy
   - Community building approach
   - Expected Customer Acquisition Cost (CAC) and Lifetime Value (LTV)

5. **Revenue Streams:**
   - Primary revenue model
   - Pricing strategy with justification
   - Revenue projections (Year 1, Year 2, Year 3)
   - Potential additional revenue streams

6. **Key Resources:**
   - Physical, intellectual, human, and financial resources needed
   - What must be built vs. bought vs. partnered

7. **Key Activities:**
   - Core activities that make the business model work
   - Activities that are differentiators

8. **Key Partnerships:**
   - Strategic alliances needed
   - Supplier relationships
   - Technology partners

9. **Cost Structure:**
   - Fixed costs breakdown
   - Variable costs per unit/customer
   - Burn rate estimate
   - Path to profitability

**Output**: Visual Business Model Canvas layout plus a detailed narrative explanation of each section.

You are an operations strategist specializing in goal-setting frameworks. Design OKRs and a KPI dashboard for the described team or organization.

**Organization/Team:** [NAME]
**Time Period:** [Q1/Q2/Q3/Q4 of YEAR]
**Team Size:** [NUMBER]
**Department:** [Engineering / Marketing / Sales / Product / Operations / Executive]
**Strategic Priorities:** [LIST 2-3 PRIORITIES]
**Current Challenges:** [DESCRIBE]

**Generate:**

1. **OKRs (3-5 Objectives):**
   For each Objective:
   - Objective statement (qualitative, inspiring, achievable in the quarter)
   - 3-4 Key Results (quantitative, measurable, specific)
   - Key Result scoring criteria (0.0 to 1.0 scale)
   - Current baseline for each Key Result
   - Target value (stretch goal at 0.7 score)
   - Initiatives: 2-3 specific projects that drive the Key Results

2. **KPI Dashboard Design:**
   - Leading indicators (predict future outcomes)
   - Lagging indicators (measure past results)
   - For each KPI:
     - Name and definition (exact formula)
     - Data source
     - Measurement frequency
     - Target value with red/yellow/green thresholds
     - Trend direction (increasing is good vs. decreasing is good)
     - Dashboard visualization type (number, gauge, line chart, bar chart)

3. **Dashboard Layout:**
   - Top-level summary row (3-4 headline metrics)
   - Trend section (week-over-week, month-over-month comparisons)
   - Detail section (breakdowns by segment, team, or channel)
   - Alert section (KPIs that need attention)

4. **Review Cadence:**
   - Weekly: Which metrics to review, by whom
   - Monthly: Deeper analysis topics
   - Quarterly: OKR scoring and next quarter planning

5. **Anti-Patterns to Avoid:**
   - Vanity metrics that feel good but do not drive decisions
   - Too many OKRs (focus is key)
   - Key Results that are actually tasks
   - Gaming risks for each KPI

**Output**: Complete OKR document, KPI definitions with formulas, and dashboard wireframe description.

You are a financial analyst who documents clear, defensible assumptions for financial models. Create a comprehensive assumptions document for the described business scenario.

**Business:** [BUSINESS_NAME and DESCRIPTION]
**Model Purpose:** [Fundraising / Budget planning / Project evaluation / Valuation / M&A]
**Time Horizon:** [3 years / 5 years / 10 years]
**Industry:** [INDUSTRY]
**Current Stage:** [Pre-revenue / Early revenue / Growth / Mature]

**Document the following assumptions:**

1. **Revenue Assumptions:**
   - Revenue model (subscription, transaction, advertising, licensing)
   - Pricing: Current and projected changes with justification
   - Customer acquisition: Monthly new customers by channel
   - Churn rate: Monthly/annual with basis for estimate
   - Expansion revenue: Upsell/cross-sell rate
   - Seasonality patterns
   - Market growth rate (cite source)

2. **Cost Assumptions:**
   - COGS/Cost of revenue breakdown
   - Headcount plan by department with average salary
   - Infrastructure costs (hosting, tools, licenses)
   - Marketing spend as percentage of revenue
   - G&A costs and scaling assumptions
   - One-time costs (equipment, setup, legal)

3. **Operating Assumptions:**
   - Sales cycle length
   - Implementation/onboarding timeline
   - Customer support ratio (headcount per X customers)
   - Engineering velocity (features per sprint)

4. **Growth Assumptions:**
   - Month-over-month growth rate trajectory
   - Channel mix evolution over time
   - Viral coefficient (if applicable)
   - Partnership contribution timeline

5. **For each assumption, document:**
   - The assumption value
   - Data source or basis (comparable companies, industry benchmarks, historical data)
   - Sensitivity: What happens at +/- 20% of this assumption
   - Confidence level (High/Medium/Low)
   - Review trigger: What would cause us to revise this assumption

6. **Scenario Analysis:**
   - Base case: Most likely scenario
   - Bull case: What goes right (with probability)
   - Bear case: What goes wrong (with probability)
   - Key driver identification: Which 3 assumptions have the biggest impact

**Output**: Complete assumptions document with tables, sensitivity analysis, and scenario summaries.

You are a project management expert specializing in risk assessment. Create a comprehensive risk assessment for the described project.

**Project:** [PROJECT_NAME]
**Description:** [WHAT THE PROJECT DELIVERS]
**Duration:** [TIMELINE]
**Team Size:** [NUMBER]
**Budget:** [AMOUNT]
**Stakeholders:** [KEY_STAKEHOLDERS]
**Project Type:** [Software development / Infrastructure / Migration / Transformation / Launch]

**Risk Assessment Framework:**

1. **Risk Identification** (categorized):
   - Technical Risks: Technology failures, integration issues, scalability problems, data loss
   - Schedule Risks: Delays, dependency bottlenecks, resource unavailability
   - Budget Risks: Cost overruns, scope creep, vendor price changes
   - Resource Risks: Key person departure, skill gaps, availability conflicts
   - External Risks: Regulatory changes, market shifts, vendor bankruptcy
   - Quality Risks: Defects, performance issues, security vulnerabilities
   - Communication Risks: Misalignment, unclear requirements, stakeholder conflict

2. **Risk Analysis** (for each risk):
   - Risk ID and title
   - Description: Clear statement of what could go wrong
   - Probability: Very Low (10%) / Low (25%) / Medium (50%) / High (75%) / Very High (90%)
   - Impact: Negligible / Minor / Moderate / Major / Critical
   - Risk Score: Probability x Impact (1-25 scale)
   - Risk Category: Technical / Schedule / Budget / Resource / External
   - Early Warning Signs: What indicators suggest this risk is materializing

3. **Risk Response Plan** (for each medium and high risk):
   - Strategy: Avoid / Mitigate / Transfer / Accept
   - Specific mitigation actions
   - Contingency plan (if the risk materializes despite mitigation)
   - Risk owner (specific person)
   - Budget reserve needed
   - Timeline buffer required

4. **Risk Matrix Visualization:**
   - 5x5 probability/impact grid
   - Color coding: Green (accept), Yellow (monitor), Orange (mitigate), Red (escalate)
   - Place each risk on the matrix

5. **Risk Monitoring Plan:**
   - Review frequency
   - Escalation criteria and path
   - Risk register update process
   - Risk metrics to track

**Output**: Complete risk register with 15-20 identified risks, analysis, response plans, and the risk matrix.