Problem Solving Prompt Templates
AI prompt templates for problem solving. Break down issues and find effective solutions.
Overview
Problem solving prompts help you break down messy situations into workable pieces. They're useful when you're not even sure what the real problem is, or when you've been staring at an issue so long you can't see it clearly anymore. Good problem solving starts with asking better questions, and these templates guide you there.
Best Practices
Describe the problem as specifically as possible. 'Sales are down' is vague. 'Enterprise sales dropped 30% in Q2 despite more leads' gives the AI something to work with
Share what you've already tried so you don't get suggestions you've ruled out
Include relevant context even if you're not sure it's connected. Sometimes the AI spots patterns you missed
Ask for the root cause before jumping to solutions. Fixing symptoms wastes time
Prompt Templates
1. 5 Whys Analysis
I'm dealing with this problem: [PROBLEM] Context: [CONTEXT] Walk me through a 5 Whys analysis. For each 'why,' give me the most likely answer based on the context I've provided, then dig deeper. At the end, identify the root cause and suggest actions that address it directly.
Problem: Our customer support tickets have doubled in the last month Context: We launched a new pricing page 6 weeks ago, no product changes, team size is the same, ticket topics are mostly billing questions
Why are tickets up? Billing questions increased. Why? Customers are confused about their pricing. Why? The new pricing page isn't clear about what's included. Why? We redesigned for aesthetics and removed the comparison table. Why? Design team wasn't given the data on what customers actually need to see. Root cause: Pricing page redesign removed critical information. Action: Add the comparison table back, A/B test placement.
When you can see a symptom but don't understand what's actually causing it
- •Don't accept surface-level answers. Keep pushing with 'but why is that?'
- •Sometimes there are multiple root causes. Ask the AI to explore different branches
2. First Principles Breakdown
I'm trying to solve: [PROBLEM] Current approach: [CURRENT_APPROACH] Break this down to first principles. What are the fundamental truths or requirements here? What assumptions am I making that might not be true? Then rebuild a solution from the ground up, ignoring how it's 'usually done.'
Problem: Need to reduce customer onboarding time from 2 weeks to 3 days Current approach: Live training sessions, detailed documentation, hands-on setup assistance
First principles: Customers need to achieve value from your product. They need to understand core features. They need their data in the system. Assumptions to question: Do they need to understand everything upfront? (No, just enough to start.) Does setup require hands-on help? (Depends, maybe self-serve is possible.) Do they need training before using? (Or can they learn by doing?) Rebuilt approach: Define the one action that delivers value. Build an interactive tutorial that gets them there in 30 minutes. Defer advanced training until they've succeeded with basics.
When existing solutions aren't working and you need to rethink the approach entirely
- •List your assumptions explicitly, even obvious ones. Obvious assumptions are often wrong
- •First principles thinking is slow. Don't use it for routine problems
3. Constraint Mapping
Here's my problem: [PROBLEM] I feel stuck because of these constraints: [CONSTRAINTS] For each constraint, tell me: 1. Is this a real constraint or an assumption? 2. If real, is it permanent or temporary? 3. What would change if this constraint didn't exist? Then suggest solutions that work within the real constraints and solutions that challenge the questionable ones.
Problem: Can't hire the senior engineer we need Constraints: Budget is fixed at $150k, we need someone local, must have experience in our specific tech stack, need them to start within 30 days
Budget ($150k): Real but maybe flexible for the right candidate. Ask if equity could bridge a gap. Local requirement: Assumption in 2024. Challenge this, remote opens 10x the talent pool. Specific tech stack: Partially real. Core skills transfer, specific tools can be learned in weeks. 30-day start: Real if there's a critical deadline, otherwise artificial urgency. Within constraints: Hire mid-level + invest in mentorship. Challenging constraints: Go remote, expand stack requirements, adjust timeline, you'll find 5x more candidates.
When you feel boxed in and every solution seems blocked by some limitation
- •Constraints you inherited from someone else are the most likely to be assumptions
- •Temporary constraints should be treated differently than permanent ones
4. Analogous Problem Finder
I'm stuck on this problem: [PROBLEM] My industry/context: [CONTEXT] Find me 3 analogous problems from different fields that have been solved. Explain how each solution worked and how I might adapt it to my situation. Look for non-obvious connections, not just competitors.
Problem: Getting users to complete a 10-step onboarding flow without dropping off Context: B2B SaaS, productivity tool, users are busy professionals
Analogy 1 - Video games: Games teach complex mechanics through progressive disclosure. You don't see the full menu until you've mastered basics. Adaptation: Gate advanced onboarding steps behind simple wins. Analogy 2 - IKEA assembly: They reduced drop-off by showing the finished product first, then steps. Adaptation: Show users what 'done' looks like at the start, make each step feel like progress toward that image. Analogy 3 - Duolingo: 5-minute sessions feel achievable. Adaptation: Break your 10 steps into 3 sessions, celebrate completion of each session, not just the whole flow.
When you're stuck thinking about your problem the same way everyone in your industry does
- •The further the analogy from your field, the more likely you'll find novel solutions
- •Ask specifically for analogies from fields you admire or find interesting
Common Mistakes to Avoid
Jumping to solutions before understanding the problem. You'll solve the wrong thing
Describing problems in vague terms. 'Users are unhappy' gives the AI nothing to work with. What specifically are they unhappy about?
Ignoring solutions that seem too simple. Sometimes the answer is obvious once you see it
Frequently Asked Questions
Problem solving prompts help you break down messy situations into workable pieces. They're useful when you're not even sure what the real problem is, or when you've been staring at an issue so long you can't see it clearly anymore. Good problem solving starts with asking better questions, and these templates guide you there.
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