"Other" is winning your exit survey
Five preset reasons can't cover real life, so customers pick "other", or the closest-fitting lie. The output is a column of one-word answers that nobody on the team can actually use to fix anything.
Exit surveys that find the real reason.
The typical exit survey gives you five checkboxes and a "what made you leave?" with an "other" field that 70% of people pick. Diaform replaces it with a 90-second AI-led exit conversation that captures the real reason, and fires a save action mid-conversation when there's still something you can do.
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Why checkbox exit surveys fail
Customers ghost the form entirely
Add more questions to fix the depth problem and completion rates collapse. People are already leaving, they will not sit through a 12-question grid. So you keep it short, and the data stays shallow.
Saveable customers leave with no save attempt
A static survey can't react. The customer who would have stayed for a 20% discount, a one-month pause, or a 10-minute call with success, they tick a box and they're gone. The save moment passed.
What Diaform does instead
01
A real 90-second exit conversation
The AI runs a short, natural conversation at the moment of cancel, return, or delete. It probes the vague answers, follows the thread, and closes politely once it has what you asked for.
02
Mid-conversation save actions
Configure triggers, price objection, missing feature, broken flow, considering a competitor, and the AI offers the right response in-flight: a discount code, a pause option, a CS meeting link, or a redirect to docs.
03
Sentiment confirms the verbal answer
Someone who says "no real reason, just trying something else" with frustrated sentiment is a different signal from the same words said calmly. Diaform attaches sentiment to every transcript so the read isn't just literal.
04
Structured analysis for every exit
Every completed exit conversation includes summaries, sentiment, answer confidence, optional notable quotes, and the message history. Search or export the response set for cohort analysis.
05
Slack alerts on red flags
When a high-value account, a vocal customer, or a recurring critical issue shows up in an exit, the right person is pinged in Slack immediately, not when the monthly retention deck gets built.
06
Voice captures the emotional weight
Cancel moments are charged. Voice answers are 2-3× longer, more candid, and carry the tone you'd never get from a textbox. Customers can switch between voice and text whenever they want.
How the exit survey works
- 01
Trigger from your cancel, uninstall, or delete flow
Drop the Diaform link into your Stripe cancel page, your unsubscribe email, your in-app delete confirmation, your return form, or your post-uninstall page. One link, any surface.
- 02
AI runs the exit conversation
The customer lands in a 60-90 second conversation. The AI asks about the real driver, probes vague answers, and steers naturally toward whatever you set as the goal of the survey.
- 03
Save actions fire when triggers detected
If the conversation surfaces a price objection, a missing feature, or a competitor mention, the AI offers the configured save action in-flight, discount, pause, meeting, or redirect.
- 04
Review aggregated reasons + sentiment
Every exit comes back with summaries, sentiment, answer confidence, optional notable quotes, and the transcript. Use filters, search, and CSV export to compare reasons across the response set.
Where teams run exit surveys with Diaform
SaaS subscription cancellation
Replace the cancel-flow checkboxes with a real exit conversation. Catch the customers who would have paused or downgraded instead of cancelling outright.
E-commerce returns and refund reasons
"Wrong size" hides ten different problems. Diaform probes the return reason so you learn whether it's sizing, photography, expectation, fit, or quality, and where to fix the listing.
App uninstall feedback
Trigger an exit conversation from the post-uninstall web page or the final in-app screen. Find out which feature, friction, or notification finally pushed them out.
Account deletion exit
When a user clicks delete account, you get one shot. The AI runs a short conversation that captures the real reason and, when relevant, surfaces the privacy or data-export option that would have kept them.
Free-trial dropout
Most trial users vanish silently. Trigger a lightweight exit conversation when the trial ends without conversion to learn whether it was activation, pricing, fit, or timing.
Employee offboarding (emerging)
Replace a static offboarding form with an AI-led exit conversation that probes calmly and preserves a structured response and transcript without HR joining every meeting.
Checkbox exit survey vs. Diaform
Typical checkbox exit survey
- One-word "other" answers dominate the data
- No save attempt, customer is gone the moment they tick a box
- Same five questions for every leaver, no probing
- No sentiment, you can't tell frustrated from neutral
- Hard to analyze, someone has to manually code the open text
Diaform
- A real 60-90s exit conversation surfaces the real reason
- Save actions fire mid-conversation, discount, pause, meeting, redirect
- AI probes vague answers and adapts to each customer
- Sentiment attached to every transcript, automatically
- Structured responses + configured Slack notifications
Frequently asked questions.
The practical details behind setting up, running, and scaling this kind of research with Diaform.
Slightly, but not the way you'd expect. Diaform exit conversations land at 60-90 seconds for most customers. The completion rate is comparable to short checkbox forms because the conversation feels like a quick chat, not a 12-field grid. You trade a few seconds of customer time for answers that are actually usable.
More conversations your team can run.
Explore the other ways Diaform can turn a static request for feedback into a useful conversation.
Your customers have more to say.
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