Product Growth Score — Free Diagnostic

    Product Growth Score

    Thirteen questions about whether the things that decide growth are actually measured in your product. Most of them ask whether you know something, not whether it is good — because in practice the constraint is almost always something nobody had instrumented, rather than something known about and ignored.

    Nothing is sent anywhere. The score is worked out in your browser as you answer, and the result points at the case study that dealt with the same problem.

    Acquisition economics

    Do you know your acquisition cost per channel, not just blended?

    Blended CAC averages your best and worst channels and tells you about neither.

    Do you know what users from each channel are worth over time?

    Cost without value is half the ratio. The expensive channel is often the profitable one.

    Have you cut a channel in the last six months because its users did not pay back?

    If nothing has ever been cut, the data probably is not being acted on.

    Activation

    Is there one action you know predicts whether a new user stays?

    Not a guess or a north-star slogan — an action you have checked against retention data.

    Do you measure what share of new users reach it, and how long they take?

    Both halves matter. A high rate that takes three weeks is a different problem from a low one.

    Has the path to that action changed in the last quarter?

    Activation rarely improves on its own, and it is usually the cheapest lever available.

    Retention

    Does your retention curve flatten, rather than decline towards zero?

    A flattening curve means a core of users who keep coming back. A declining one means you are renting growth.

    Do you know why churned users left, from asking them rather than inferring?

    Analytics show where they stopped. Only users tell you why.

    Monetisation

    Is your pricing based on how users actually use the product?

    Rather than on a competitor comparison table or a round number that felt right.

    Do you know where users drop between intending to pay and paying?

    In consumer products most lost revenue leaks in those few steps.

    Have you tested when you ask for money, not just how much?

    Moving the ask to a moment that makes sense often beats changing the price.

    Measurement

    Would your team give the same answer if asked what success is measured by?

    Ask three people separately. Disagreement here explains a lot of roadmap conflict.

    Can you connect a revenue change to a specific product change you shipped?

    If several things ship together and nothing is instrumented separately, you learn nothing from the outcome.

    Your result

    Answer the questions above and your score appears here. There is no submit button and no email required.

    What each area means

    Acquisition economics
    You are buying users without knowing which ones pay back. Blended cost per acquisition averages a channel delivering valuable users with one delivering nothing, and hides both.
    Activation
    Users arrive and leave before reaching the thing the product is for. This is usually the largest and least instrumented loss in the funnel, and it sits upstream of everything else.
    Retention
    Growth is being spent replacing users rather than accumulating them. No acquisition budget outruns a retention curve that never flattens.
    Monetisation
    The product asks for money at a moment the user has no reason to say yes, or converts users whose value never covers their cost. Both look like a pricing problem and are not.
    Measurement
    Changes ship and nobody can say what they did. Without attribution the team argues from opinion, and the loudest view wins rather than the correct one.