AI prompts for business professionals and founders. Market analysis, competitive intelligence, pricing strategy, financial planning, product development, team management, and growth frameworks. Each prompt delivers structured, actionable output.
You are a senior strategy consultant at McKinsey. Conduct a comprehensive market opportunity analysis.
Business idea: {business_description}
Industry: {industry}
Target market: {geographic_region}
Current stage: {stage, e.g., "idea", "MVP", "revenue"}
Analyze:
1. MARKET SIZE (TAM/SAM/SOM):
- Total Addressable Market with calculation methodology
- Serviceable Addressable Market with realistic constraints
- Serviceable Obtainable Market for first 2 years
- Growth rate and trajectory
2. MARKET DYNAMICS:
- Key trends shaping this market (3-5)
- Regulatory environment and upcoming changes
- Technology shifts creating opportunities
- Consumer behavior changes
3. COMPETITIVE LANDSCAPE:
- Direct competitors (top 5) with positioning map
- Indirect competitors and substitutes
- Barriers to entry
- Competitive advantages available
4. CUSTOMER ANALYSIS:
- Primary customer segments (3-4)
- Willingness to pay
- Current alternatives they use
- Switching costs
5. GO/NO-GO RECOMMENDATION:
- Confidence score (1-10) with reasoning
- Top 3 risks and mitigation strategies
- Recommended entry strategy
- Key assumptions to validate first
Output: Executive summary + detailed analysis with data sources noted.
Tip: Include any data you already have — revenue numbers, customer interviews, web traffic. Real data dramatically improves the analysis quality.
#2Competitive Intelligence Deep Dive+
Conduct competitive intelligence on {competitor_name} for our business {your_business}.
What we know:
- Their website: {url}
- Their pricing: {known_pricing}
- Their target market: {known_target}
Analyze using publicly available information:
1. POSITIONING: How do they describe themselves? What's their value prop?
2. PRICING STRATEGY: Free/freemium/premium? Price points? Discounting patterns?
3. PRODUCT: Key features, recent launches, product roadmap signals
4. MARKETING: Channels used, content strategy, ad spend signals, SEO keywords
5. STRENGTHS: What do their customers praise? (Review mining)
6. WEAKNESSES: What do customers complain about? (Negative reviews, churned users)
7. TEAM: Key hires, team size, leadership background (LinkedIn signals)
8. FUNDING: Investment rounds, revenue estimates, burn rate signals
9. TECHNOLOGY: Tech stack, integrations, infrastructure choices
STRATEGIC IMPLICATIONS for us:
- Where are they vulnerable?
- What can we learn from their approach?
- How should we differentiate?
- What would hurt them if we did it?
Format: Competitive profile document + SWOT matrix + strategic recommendations.
Tip: Paste their About page, pricing page, and a few customer reviews directly into the prompt. The AI can extract much more from actual text than from descriptions.
#3Customer Interview Question Bank & Analysis Framework+
Generate a customer discovery interview script for validating: {hypothesis_to_validate}
Product/service: {your_product}
Target customer: {customer_profile}
Interview length: {duration, e.g., "30 minutes"}
Create:
1. WARM-UP QUESTIONS (2-3 min):
- Build rapport without biasing responses
2. CONTEXT QUESTIONS (5 min):
- Understand their world before introducing your topic
- Current workflow, tools, and pain points
3. PROBLEM VALIDATION (10 min):
- Explore the specific problem you're solving
- Severity, frequency, and current workarounds
- Money/time currently spent on this problem
4. SOLUTION EXPLORATION (8 min):
- Reaction to your concept (without pitching)
- What would make them switch from current solution
- Deal-breakers and must-haves
5. WILLINGNESS TO PAY (5 min):
- Price sensitivity without anchoring
- Budget authority and procurement process
6. CLOSING:
- Referrals to other potential users
- Permission for follow-up
ANALYSIS FRAMEWORK:
- Signal vs noise indicators
- Red flags in responses
- How to score interviews (1-5 on problem severity, solution fit, willingness to pay)
- Decision criteria: When to pivot vs persevere
Tip: The best customer interviews never mention your product in the first half. Let them describe their problems before you introduce solutions.
#4Pricing Strategy Optimizer+
Design an optimal pricing strategy for: {product_or_service}
Current situation:
- Current price: {current_price_or_none}
- Cost to deliver: {cost_per_unit}
- Target customer: {customer_profile}
- Competitor pricing: {competitor_prices}
- Current revenue: {revenue_or_projected}
Analyze and recommend:
1. PRICING MODEL: Which model fits best and why?
- One-time vs subscription vs usage-based vs freemium
- Pros/cons for our specific case
2. PRICE POINTS: Specific numbers with rationale
- Anchoring strategy
- Psychological pricing tactics
- Good/Better/Best tier structure
3. PACKAGING: What goes in each tier?
- Feature allocation across tiers
- Migration triggers (what makes users upgrade)
- Annual vs monthly pricing and discount
4. COMPETITIVE POSITIONING: Price relative to market
- Premium vs value vs penetration strategy
- How to justify price differences
5. REVENUE MODELING:
- Scenario A: Conservative pricing
- Scenario B: Aggressive pricing
- Scenario C: Recommended pricing
- Break-even analysis for each
6. IMPLEMENTATION: Launch strategy
- How to announce new pricing
- Grandfather existing users?
- A/B testing plan
Tip: Include your cost structure. Pricing without understanding margins is guessing. Even rough cost estimates dramatically improve recommendations.
#5SWOT to Strategy Action Plan Converter+
Convert this SWOT analysis into a concrete 90-day strategic action plan.
STRENGTHS:
{list_strengths}
WEAKNESSES:
{list_weaknesses}
OPPORTUNITIES:
{list_opportunities}
THREATS:
{list_threats}
Business context:
- Company stage: {stage}
- Team size: {team_size}
- Budget available: {budget}
- Top priority: {main_goal}
Generate:
1. STRATEGIC PRIORITIES (top 3):
- Strength-Opportunity plays (leverage strengths to capture opportunities)
- Weakness-Threat mitigations (address vulnerabilities)
2. 90-DAY ACTION PLAN:
- Week 1-2: Quick wins
- Week 3-6: Foundation building
- Week 7-12: Growth acceleration
- Each action: Owner, deadline, success metric, dependencies
3. RESOURCE ALLOCATION:
- Where to invest (time, money, people)
- What to stop doing (strategic "no's")
- What to outsource vs build in-house
4. RISK REGISTER:
- Top 5 risks with probability and impact scores
- Mitigation plan for each
- Trigger events to watch for
5. SUCCESS METRICS:
- Leading indicators (weekly tracking)
- Lagging indicators (monthly/quarterly)
- Decision points: When to pivot vs double down
Tip: Be brutally honest in your SWOT. Sugarcoating weaknesses produces weak strategies. Include uncomfortable truths for the best output.
#6Business Model Canvas Generator+
Generate a complete Business Model Canvas for: {business_idea}
Context:
- Industry: {industry}
- Stage: {idea / validated / scaling}
- Unique angle: {what_makes_you_different}
Fill each canvas section with specifics, not generalities:
1. Customer Segments: Who exactly? (specific profiles, not demographics)
2. Value Propositions: What job do you do for them? (jobs-to-be-done framework)
3. Channels: How do you reach them? (prioritized by cost and effectiveness)
4. Customer Relationships: How do you retain them? (automation vs high-touch)
5. Revenue Streams: How do you make money? (pricing model + projections)
6. Key Resources: What do you need? (people, tech, IP, capital)
7. Key Activities: What do you do daily? (build, sell, support priorities)
8. Key Partnerships: Who do you need? (suppliers, platforms, allies)
9. Cost Structure: Where does money go? (fixed vs variable, biggest costs)
For each section include:
- Current state (if applicable)
- Assumptions to validate
- Biggest risk in this area
End with: Top 3 most critical assumptions to test first, and how to test them cheaply.
Tip: After generating, challenge each assumption. Ask: "What if this section is wrong? What breaks?" The AI will stress-test your model.
#7Unit Economics & Financial Health Check+
Analyze the unit economics and financial health of this business:
Metrics (fill what you know):
- Average revenue per customer: {ARPC}
- Customer acquisition cost: {CAC}
- Gross margin: {gross_margin}
- Churn rate: {monthly_churn}
- Customer lifetime: {avg_lifetime_months}
- Monthly recurring revenue: {MRR}
- Monthly burn rate: {burn_rate}
- Runway: {months_of_cash}
Analyze:
1. LTV:CAC ratio (is it above 3:1?)
2. CAC payback period
3. Gross margin health
4. Churn analysis and revenue impact
5. Path to profitability timeline
6. Cash flow projection (12 months)
For each metric:
- Is this healthy? (benchmark against industry)
- What's the #1 lever to improve it?
- Quick win vs structural fix
- Impact if improved by 10%, 25%, 50%
Output: Financial dashboard summary + prioritized improvement plan with expected ROI of each initiative.
Tip: Even rough estimates work. "CAC is probably around $50-80" gives the AI enough to provide useful analysis.
#8Go-to-Market Strategy Builder+
Build a go-to-market strategy for launching: {product_or_feature}
Context:
- Product: {description}
- Target customer: {ICP}
- Price point: {price}
- Budget: {launch_budget}
- Timeline: {launch_date}
- Team: {team_resources}
- Existing audience: {current_reach}
Create a GTM plan covering:
1. POSITIONING: One sentence that captures why this matters
2. MESSAGING: Value prop, proof points, objection handling
3. LAUNCH TIMELINE: Week-by-week plan (T-4 weeks to T+4 weeks)
4. CHANNELS: Ranked by expected ROI with specific tactics per channel
5. CONTENT: What to create and when (landing page, demo, case study, posts)
6. PARTNERSHIPS: Who to co-launch with and how to approach them
7. METRICS: What to track daily, weekly, monthly
8. CONTINGENCY: If launch underperforms, what's Plan B?
Specific deliverable: Detailed launch checklist with owner and deadline for each item.
Tip: The best GTM strategies have a narrow beachhead. Don't try to launch to everyone. Pick your first 100 customers and build the plan around reaching them specifically.
#9Strategic Partnership Evaluator+
Evaluate this potential partnership opportunity:
Our business: {your_business}
Potential partner: {partner_name_and_description}
Partnership type: {type, e.g., "co-marketing, integration, reseller, JV"}
Their ask: {what_they_want}
Our goal: {what_we_want}
Analyze:
1. STRATEGIC FIT (1-10): How aligned are goals and values?
2. LEVERAGE ANALYSIS: Who needs whom more? Power dynamics?
3. RISK ASSESSMENT: What could go wrong? Downside scenarios?
4. VALUE CREATION: What value is created that neither could create alone?
5. DEAL STRUCTURE: Recommended terms (rev share, exclusivity, term length)
6. EXIT STRATEGY: How to unwind if it doesn't work?
7. SUCCESS METRICS: How do both sides measure success?
8. NEGOTIATION STRATEGY: Our BATNA, their BATNA, zone of agreement
Recommendation: Proceed / Negotiate harder / Walk away
If proceed: Proposed deal terms and negotiation talking points.
Tip: Include the partner's recent news, funding, or strategic moves. Context about their current priorities helps assess alignment and urgency.
#10Industry Trend Analyzer & Opportunity Spotter+
Analyze emerging trends in {industry} and identify business opportunities.
Current landscape:
- Dominant players: {top_companies}
- Recent disruptions: {recent_changes}
- Technology shifts: {relevant_tech}
- Regulatory changes: {regulations}
Analyze:
1. MEGA TRENDS (3-5 year horizon):
- What structural shifts are reshaping this industry?
- Which trends are real vs hype? (evidence-based assessment)
2. EMERGING OPPORTUNITIES:
- Underserved segments created by these trends
- New business models becoming viable
- Technology-enabled capabilities that didn't exist 2 years ago
3. THREAT ASSESSMENT:
- What could make current business models obsolete?
- Where are incumbents most vulnerable?
- Black swan risks to monitor
4. OPPORTUNITY RANKING: Top 5 opportunities ranked by:
- Market size potential
- Timing (too early / just right / late)
- Barrier to entry
- Required capabilities
- Capital requirements
For each opportunity: One-paragraph description, estimated timeline, and first step to validate it.
Tip: Name specific companies, technologies, and regulations. Generic industry analysis is less useful than specific, named analysis.