Cancellation surveys that save the saveable.

The cancel button is the highest-leverage save moment your product has, and most teams waste it on five checkboxes. Diaform runs a 60-90 second AI cancel interview right there, surfaces the accounts you can still rescue, and offers the right save in-flight.

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An AI cancel interview at the moment that actually matters

Most cancellation surveys are five radio buttons and a textarea. "Too expensive / not using it / found an alternative / other / other." Customers click whichever is closest to true and disappear. You log a reason that doesn't tell you what to fix and you lose accounts you could have kept.

Diaform sits at the same place in your cancel flow but runs a real conversation. The AI asks why, probes the answer, and, when it detects a saveable signal, offers a discount code, a pause, or a meeting with CS before the customer is gone. You get specific, structured cancellation reasons in CSV and you save the accounts that were one fixable issue away from staying.

Why checkbox cancellation surveys leak revenue

Checkbox surveys are ignored or get "other"

Customers in a cancel flow are already done. They click the closest box or skip it entirely. You end up with a pie chart of "other" and no idea what actually drove the decision.

Customers cancel because of one fixable issue you never hear

A broken integration, a confusing billing page, a feature they didn't realize you shipped. None of that fits in a five-option list, so you keep losing the same saveable accounts every month.

Save offers in static funnels are too generic

Showing the same 20% discount to everyone wastes margin on people who would have stayed and fails the customer who actually needed a pause or a CS call. Static save flows can't match the offer to the reason.

What Diaform does differently at the cancel button

A real AI cancel interview, not a form

The AI runs a 60-90 second conversation right at the cancel button. It asks why, probes vague answers, and gets to the specific reason behind the decision.

In-flight save offers based on the detected reason

Mid-interview automations fire the right save: a discount code for price-sensitive cancels, a pause option for usage gaps, a CS meeting for confused power users, a feature walkthrough redirect for missed-feature cancels.

Sentiment confirmation before the offer fires

Diaform confirms intent before triggering an automation, so you don't offer a discount to someone who's leaving because of a bug, and you don't push a pause on a hard "we got acquired" cancel.

Theme clusters across every cancellation

Per-cancel summary, sentiment, and themes arrive instantly. Across the month you get clusters that show the systemic reasons you're losing customers, and CSV export of every reason and verbatim.

Slack alerts on red-flag cancels

Triggers fire on "angry / churn-risk", "skeptical / price-sensitive", and "urgent buying intent" signals. Your CS lead gets a Slack ping with the transcript before the account is actually gone.

Multilingual out of the box

The AI runs the cancel interview in the customer's native language and summarizes back to English for your team, 30+ languages, no translators.

How a cancellation survey runs end to end

1
Wire the link into your cancel flow
Drop the Diaform link into your Stripe cancel page, your in-app billing cancel screen, your mobile subscription cancel, or your unsubscribe flow. One link, any platform.
2
AI runs the 60-90 second interview
Each customer gets their own session. The AI asks the cancel question, probes when the answer is vague, and stays inside a tight time budget so it never feels like a chore.
3
Save offers fire when triggers are detected
Price-sensitive signals trigger a discount code. Usage-gap signals offer a pause. Confused power users get a CS meeting link. Missed-feature cancels get redirected to a walkthrough.
4
Review save rate + cancellation reasons
Theme clusters, save rate per trigger, full transcripts, and a CSV of every cancellation reason and verbatim. Slack alerts on red flags so CS can intervene before the account is gone.

Where AI cancellation surveys fit

SaaS subscription cancellation

Replace the checkbox cancel survey on your billing page. Catch the price-sensitive accounts with a discount and the confused ones with a CS call before they churn.

Mobile app subscription cancel

Hook into your in-app cancel flow before the App Store / Play Store hand-off. Surface the saveable accounts with a pause or in-app discount instead of losing them to the platform cancel.

Streaming and media subscription cancel

Find out whether someone is leaving because of price, content gaps, or just a temporary break, and offer the right save (pause, downgrade, content recommendation) per reason.

Marketplace seller cancellation

When a seller deactivates their account, run a quick interview on what broke. Route policy frustrations to CS and platform-fit issues to product.

B2B annual contract cancellation

Trigger the interview when a customer signals non-renewal. The CS Slack alert fires before the contract ends so the renewal team has a real shot at the save call.

Gym and membership cancellation

Replace the cancel form at the front desk or in the member portal. Offer a pause or downgrade for price-sensitive cancels and capture the real reason for everyone else.

Checkbox cancellation survey vs. AI cancel interview

Checkbox cancellation survey

Pie chart of "other" responses
No save attempt, just logs the reason
No probing on vague answers
Manual analysis to find systemic reasons
Same generic discount for everyone (or nothing)

Diaform

Real conversation surfaces the actual reason
In-flight save offers fire mid-interview
Sentiment-driven action routing per cancel
Theme clusters + CSV of every reason and verbatim
Slack alerts on angry, price-sensitive, and high-intent signals

Frequently asked questions

How does this fit into my Stripe cancel flow?

Drop the Diaform link into your Stripe customer portal cancel page or your custom billing cancel screen. The customer launches the cancel interview, the AI runs the 60-90 second conversation, and save offers (discount code, pause, CS meeting) fire mid-interview when the right triggers are detected.

Can it offer different save actions per reason?

Yes. Mid-interview automations route per detected reason, a discount code for price-sensitive signals, a pause for usage-gap signals, a CS meeting for confused power users, a feature walkthrough for missed-feature cancels. You configure which actions fire on which triggers.

Will customers actually do an interview at the cancel button?

Yes, the interview is 60-90 seconds, voice or text, and feels like a quick chat rather than a form. Completion rates at the cancel button are higher than checkbox surveys because the conversation feels lighter and customers want to be heard on the way out.

How is this different from a churn survey?

A churn survey is usually run after the cancel, a follow-up email with a form. A cancellation survey runs in-flight, at the cancel button, while you can still save the account. Diaform does both, but the cancellation survey is the highest-leverage moment because the customer is still on your domain and a save offer can fire before the cancel completes.

Can it integrate with my CS tool?

Yes. Slack alerts fire on red-flag cancels with the transcript attached so your CS lead can intervene immediately. CSV export of every cancellation reason, verbatim, and theme means you can pipe results into your CS, BI, or CRM stack on whatever cadence you run.

Explore more

Dive into the other ways Diaform can power your research.

Churn surveys

The broader picture of churn, including post-cancel follow-ups, win-back surveys, and retention research, not just the cancel button moment.

Exit survey

Exit surveys for the wider set of departures, offboarding, account deletion, and end-of-contract, with the same AI interview format.

Onboarding feedback

Catch the friction that drives cancels weeks later, run AI interviews at the activation milestones that predict retention.

Ready to upgrade your feedback loop?

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