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- 🚀 How to find a problem worth solving?
🚀 How to find a problem worth solving?
3 tactics, 2 traps and 1 tool to find a problem worth solving
Welcome back to ‘Tactical Tips’ by Jerel and Shuo at DECODE, the largest founder community co-hosted across Berkeley and Stanford. Every week, we cover one of our founders’ top questions on how to build, sell and operate 10x better.
Today, we’ll be answering the question, “How to find a problem worth solving?” and covering insights around defining the problem, the 4U framework, as well as understanding conditions that need to be true.
And ... we’ve curated a YouTube playlist featuring our best founders, operators and investors.
🔥 Inside this issue:
✅ 3 tactics to find a problem worth solving
✅ 2 traps to avoid
✅ 1 tool to leverage
👇Let’s dive in.
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3 tactics to find a problem worth solving
🌐 Define the problem with precision
Quantify the pain: Quantify the Severity (cost/pain per unit) x Scope (# of units) x Frequency (how often it occurs). List all symptoms and outcomes that fail or falls short
Pinpoint the people affected: Identify the specific customer segments, roles, or teams experiencing the problem and who feels it the most
Understand when the problem manifests: Determine when and where the issue appears in the process and what triggers it
Analyze current workarounds: Map how users currently solve the problem, including tools, manual steps, or temporary fixes
Explain why improvement is needed: Quantify the opportunity cost of current workarounds by comparing it to the expected gains of a better solution (time savings, ROI, or risk reduction)
Surface adoption barriers: Identify constraints such as habits, tools, budgets, incentives, or organizational resistance that may block adoption
🎯 Evaluate using the 4Us framework
Unworkable:
How painful is the problem (intensity and frequency)?
What are the pains(s) that the problem causes?
Why must the pain be addressed? Are there real, measurable consequences?
How widespread is the impact? Is there a group that it impacts more widely?
Is there a lack of resources, technological limitations or outdated processes?
E.g. Manual validations that incur fines/penalties if there were errors
Unavoidable:
How necessary is it to solve?
What external forces (regulatory requirements, market shifts, or customer demands) are causing this?
Can it be avoided or is it a must solve?
E.g. Filing tax, aging, regulatory compliance for data privacy
Urgent:
How quickly must the problem be addressed?
Can it be put off, or must it be addressed now?
Is it among the top 3 priorities, and will it get moved up or down over time?
E.g. Finding a job, getting medical treatments
Underserved:
Are there other products or solutions to address the problem? How effective are they?
Are there market demand gaps or competitor weaknesses?
What resources (money, time, people, attention) is it competing against?
E.g. Providing senior citizens simple smartphones
See the tools section below for scoring metrics
🤝 Understand what would have to be true (WWHTBT)
Work backward from the desired outcome and ask a set of cascading WWHTBT questions to reveal constraints and assess if a problem is worth solving
E.g. to get paying users for a search engine, WWHTBT for:
Users to pay → Deliver an excellent experience for ideal customer (e.g., privacy-conscious users) and have regular usage
Regular usage → Have users make it their default search engine
Default search engine → Offer a high-value, low-friction way for users to switch from their current search engine
If offering a high-value or low-friction way for users to switch search engine is unlikely, reconsider working on the problem
2 traps to avoid
🚨 Treating problems as universal across the entire market
Not every company or user experiences the same pain with the same urgency, necessity, or severity
A problem that feels minor to one segment can be mission-critical to another
Narrow down the market to see if there is a segment that has high ratings in each of the 4 Us
🚨 Falling in love with tech before the problem
Starting with AI, blockchain, or any “shiny” tech = forcing problems to fit solutions
High-tech products nobody wants waste time and resources
Focus on the problem first; sometimes a simple spreadsheet beats a fancy model
1 tool to leverage
📖 Best practice on evaluating problems
Use this Problem Evaluation Canvas to assess the nature and extent of a problem, and whether it’s worth tackling
Rate each problem 1–5 across these dimensions:
Painful (Unworkable): 1 = Minor annoyance, 5 = Critical
Necessary (Unavoidable): 1 = Optional, 5 = Must-have
Urgency: 1 = Someday, 5 = Immediately
Alternatives (Underserved): 1 = Many easy options, 5 = No viable alternatives
Impact: 1 = Niche market, 5 = Mass market
Multiply all five scores together (max = 3125):
>500: Problem has sufficient severity to justify a dedicated solution
>1,500: Problem shows exceptional severity and warrants immediate pursuit
Bonus: 1 trend to spark startup ideas
88% resolved. 22% loyal. Your stack has a problem.
Those numbers aren't a CX issue — they're a design issue. Gladly's 2026 Customer Expectations Report breaks down exactly where AI-powered service loses customers, and what the architecture of loyalty-driven CX actually looks like.
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