GTM Sauce

Ladder · B2C · strength training app

Run a big yearly user survey and use AI to read the answers

7,500+ responses in a year; led directly to the nutrition feature

Workedfeature-development

What they did

Three feedback buckets: (1) acute pain via in-app feedback forms that flow into Slack; (2) ad hoc plus recurring surveys, including an end-of-year survey of 80-90 multiple-choice and open-ended questions taking 45+ minutes, parsed with AI; (3) dogfooding by staff (encouraged, not required). Gives little weight to 5-10 person interviews in a diverse consumer base; takes care to write unbiased, non-leading questions.

What happened

7,500+ responses to the annual survey; clear signal for nutrition.
“we do one at the end of the year and we have an insanely productive community. There's 7,500 plus responses this past year. It takes over 45 minutes. Thank God for AI to be able to parse it out and understand what they want.”
Ben Gammon
“if you talk to five or 10 people, they might weigh in on a part that gives you a little bit of insight, but the problem is you can't over-index to that because they still only represent N of five or N of 10.”
Ben Gammon

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