[[{“value”:”
Hey AI Break fam 👋 Luis & Rui here!
You know that feeling when you wake up with the idea?
You tell a friend, they nod. You start building. Weeks pass. Crickets.
It’s not that the idea was bad. It just wasn’t validated.
In this guide, we’ll show you how to use ChatGPT as your personal startup validation partner to research markets, analyze competitors, simulate customers, and predict demand before you invest time or money.
Let’s dive in 👇
⚙️ Step 1 – Discover Pain Worth Solving
Before you build anything, find real pain.
Most founders fall in love with the solution. The best ones fall in love with the problem.
Prompt (with deep research mode):
## Role: Act like an experienced Market Research Strategist with 10 years of experience
## Task: Identify and prioritize high-value, unsolved problems in [industry or niche] for [target user or ICP] using deep research across recent public conversations.
Deliver a ranked table of problems and a short insights summary that highlights the best opportunities to build a business around.
## Context:
I want to start a business and need evidence-backed problems that are urgent, frequent, and show willingness to pay. The goal is to uncover pain points with high potential for a viable product or service, ideally untapped or under-served, so I can reduce risk before building.
## Structure:
1. Run deep research across Reddit, Quora, X, niche forums, product reviews, and recent articles.
2. Extract 10 distinct pain statements with a short user quote and a source link for each.
3. Score each item on: urgency, frequency, willingness to pay signals, and evidence quality.
4. Return a ranked table with columns: Problem | Example quote | Source link | Urgency | Frequency | Pay intent | Evidence quality | Notes.
5. Write a 150-word insights summary that explains the top 3 opportunities and why they stand out.
6. List follow-up questions needed to validate buyer, budget, workflow, and success criteria.
## Tone:
Analytical, data-driven, founder-friendly💡 Why it matters: You’re turning intuition into evidence. Don’t build what’s interesting. Build what’s painful.
📈 Step 2 – Estimate Real Demand
Once you’ve identified several pain points, the next step is to see if people actually care about them.
Demand validation helps you avoid solving something that no one is actively searching for or discussing.
Prompt (with deep research mode):
## Role: You are an experienced Market Demand Analyst
## Task:
Evaluate market demand for the following problems:
[insert the list of problems discovered in Step 1].
Use search trend data, discussion frequency, and social signals to estimate current and projected interest. Deliver both quantitative and qualitative insights that show whether each problem has real traction.
## Context:
I am testing multiple startup problem ideas and want to know which ones show real demand before committing to product development. I need to identify which pain points people are already searching for, talking about, or spending money to fix.
## Structure:
1. For each listed problem, research indicators of interest using deep research or browsing: Google Trends, Reddit mentions, X posts, Quora activity, YouTube topics, Product Hunt discussions.
2. Collect approximate metrics such as monthly search volume ranges, social chatter frequency, and trend direction (rising, steady, or declining).
3. Summarize the findings in a table:
Problem | Search volume range | Social mentions | Trend direction | Momentum score | Evidence snippet | Source link.
4. Provide a 200-word insights summary explaining which problems show strong growth potential and which appear saturated or stagnant.
5. Rank all problems from strongest to weakest based on momentum, discussion energy, and clear purchase intent.
## Tone: Strategic, data-driven, founder-focused.💡 Why it matters: Validation isn’t guessing. It’s spotting traction early.
🧠 Step 3 – Analyze the Competition
“}]] Read More in The AI Break
