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    Problem–Solution Fit

    Problem–Solution Fit

    Does this solve a real problem?

    This test confirms whether the problem you're solving is one people actually recognise, experience, and care enough about to want a solution — before you invest in building one.

    See what this costs →

    Why It Matters

    The most common reason products fail isn't bad design or weak engineering. It's solving a problem nobody actually has.

    Here's how teams end up building for phantom problems:

    • You experienced the problem yourself and assumed everyone else does too
    • A handful of vocal users requested something — but they don't represent the market
    • The problem exists but it's not painful enough for people to switch from their current workaround
    • You've been so deep in the solution that you've stopped questioning the problem

    If the problem isn't real, urgent, and painful enough — no amount of good design will save the product.

    Problem–Solution Fit testing gives you the honest answer before you commit time, money, and reputation to the wrong problem.

    What You'll Learn

    Problem Recognition Rate

    Measure what percentage of your target audience actually recognises and experiences the problem you're trying to solve.

    Severity Perception

    Understand how painful the problem is in people's daily lives — and whether it's urgent enough to drive action.

    Current Workarounds

    Discover how people currently deal with the problem — and what it would take for them to switch to something new.

    Willingness To Switch

    Find out whether people are actively looking for a better solution — or whether their current approach is "good enough."

    How It Works On Dlyte

    1

    Define The Problem

    Describe the problem you believe your product solves. No solution needed — just a clear articulation of the pain point.

    2

    We Match Real Testers

    Participants from your target audience evaluate the problem — so the signal reflects real market conditions, not your assumptions.

    3

    Testers Evaluate The Problem

    They answer structured questions about whether they recognise the problem, how they currently deal with it, and how urgently they want it solved.

    4

    Insight → Better Version

    We surface recognition rates, severity scores, and workaround patterns — and help shape clearer problem definitions you can test next.

    What This Test Does Not Measure

    This is not a messaging clarity test. It doesn't measure whether your value proposition is well-communicated — it measures whether the underlying problem is real.

    Looking for that instead? Try a Value Proposition Mapping.

    Simple, Transparent Pricing

    $25.00per tester
    Minimum 4 testers per test
    Results in 24–48 hours
    Structured summary included
    No subscription — pay per test

    Combine with other methods for deeper insight

    Frequently Asked Questions

    No. This test is specifically designed for the stage before you have a product. You only need a clear description of the problem you believe your product will solve. That's the whole point — validate the problem before you build the solution.

    Customer interviews are qualitative and often biased by the relationship between interviewer and participant. Problem–Solution Fit uses structured questions with matched testers who have no connection to you — giving you honest, quantifiable signal. See all available research methods for details.

    That's one of the most valuable findings. A real but low-urgency problem means people will acknowledge it but won't switch from their current workaround. This test surfaces that distinction so you can decide whether to proceed, reframe, or pivot.

    We recommend at least 10 testers for clear patterns. For market-level validation or investment decisions, 20+ testers give you stronger confidence in the recognition and severity scores. See our guide on how many testers you need for details.

    Yes. You can run separate tests for different problem hypotheses and compare the results — recognition rates, severity scores, and workaround patterns side by side.

    Most tests complete within 24–48 hours. Each tester spends around 5–8 minutes evaluating the problem statement and answering structured questions, with multiple testers running in parallel.