Example readout
What a finished churn study looks like
6 invented participants, played by a model · distil’s output, unedited
The question
“Why did you cancel in your first month?”
What people said
People most often said the app created more work than it saved: three people described unreliable credit-union bank feeds that meant matching or reconciling payments by hand, and three described clients hitting a login wall when trying to pay. In both cases, the extra friction made the app harder to trust or use. The price story went both ways: one person said it was too expensive, while two said price wasn’t the issue and it cost less than the time they lost chasing payments. No one described a single dramatic tipping point; the cancellations followed repeated problems or a lack of value. This rests on six conversations, enough to spot these reasons but not to know how common they are overall.
Person 3 said that in April a client asked for bank details after hitting the login wall, which felt awkward. They also said the trial emails went quiet after day three, so they never learned about recurring invoices that might have helped with their work.
Person 5 said they invoiced only a few times a month and had hoped the tool would reduce the time spent chasing late payments. Like Person 3, they said they never learned about recurring invoices after the trial emails stopped after day three.
Person 6 said the bank feed was probably the deciding factor; they could live with clients asking for bank details, but not manually fixing transactions each time. Person 1 couldn’t recall a specific payment that tipped them over, only repeated mismatches that made the totals feel unreliable.
Two excerpts, with the follow-up
Price, then the bank feed: the follow-up asks for the moment it tipped
A short answer, followed up
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