01
Subscription cancel interviews
Monthly or annual SaaS — capture the reason the moment they hit cancel, before the memory fades.
AI Churn Surveys & Cancel Interviews
Churn surveys that find the real reason — and act on it.
Run AI-moderated cancel interviews the moment a customer hits "cancel". Diaform probes for the real reason — and when the reason is saveable, deploys the offer you configured in advance: a discount, a pause, a meeting with CS, a feature walkthrough. Real save interventions inside the interview, not a follow-up email three days late.
14-day free trial · No credit card required · Setup in 30 seconds
Conversations powered
1,500+
Average setup time
15 min
Average team rating
4.9 / 5
Trusted by product, research, and insights teams running continuous discovery.
Overview
Churn surveys fail where it matters most
The moment a customer cancels is the highest-signal window you'll ever get with them. They're about to leave, they know exactly why, and they're willing to tell you — briefly. Traditional churn surveys blow this window on five radio buttons and a textbox that says "anything else?".
Diaform turns that moment into a structured cancel interview — with save moves built in. The AI probes the trigger, the specific objection, and what would need to be different. When the reason is saveable ("couldn't get the CRM integration working"), it deploys the matching offer from the playbook you configured — a walkthrough, a CS call, a pause, a discount. When it isn't ("we got acquired"), you get the signal for the product roadmap. Either way, the cancel moment stops being wasted.
Why your current exit survey isn't working
01The problem
Five checkboxes don't capture the real reason
'Too expensive, not enough features, switching to a competitor, other' — the reason never fits cleanly. You end up with a pie chart that's mostly 'other' and you still don't know what to fix.
02The problem
One-line textboxes get one-line answers
When cancellation momentum is high, users type "it just didn't work for us" and submit. Without a follow-up, you never get the specific thing that didn't work.
03The problem
No save attempt, no retention upside
Some cancellations are recoverable — a pricing misread, an integration they didn't know existed, a missing feature you already ship. A static survey can't recognize and respond to any of it.
How Diaform runs cancel interviews
Feature · 01
Probing that surfaces the real reason
When a customer writes 'too expensive', the AI asks 'compared to what' and 'what outcome justified that price'. You learn whether the issue is absolute cost, value perception, or a competitor's pricing anchor.
Feature · 02
Structured reason codes + open truth
You get clean reason codes for dashboards ('pricing', 'integration', 'missing feature') alongside the verbatim quote that explains each code. Ops gets the chart; product gets the story.
Feature · 03
In-conversation save offers
The AI doesn't just detect saveable churn — it acts on it. Pre-configure the save menu (percentage discount, one-month pause, downgrade to Free, a scheduled call with CS or a founder, a walkthrough of an underused feature) and the AI deploys the right offer inside the interview, matched to the reason it uncovered. No follow-up email three days late.
Feature · 04
Empathetic tone, not interrogation
Canceling is a charged moment. The AI greets with acknowledgment, not inquiry, and probes only where the signal is strong. Avg. 3× longer responses than a static exit survey.
Feature · 05
Voice + text
Some customers won't type three paragraphs but will speak for a minute. Voice responses unlock richer, more honest reasons — especially around pricing and competitor moves.
Feature · 06
Pattern dashboard for retention ops
Across weeks of cancels, the AI clusters themes — pricing anchor drift, an integration blocker, a specific persona not finding value. Retention has a prioritized backlog, not a pile of verbatims.
A cancel interview, not an exit survey
The AI probes a customer who just hit 'cancel' — surfacing the real reason, whether it's saveable, and what would have kept them.
Mesa Invoicing
Interview Questions
What led to the decision
Would you come back?
What could we have done
Progress0 / 3
You define the base questions.
Diaform handles follow-ups automatically.
Drop it into your cancel flow
- 1
Define your probes + save playbook
Write the probes (reason, trigger, comparison, would-have-stayed-if) and pre-approve the save moves the AI is allowed to make — a percentage discount, a pause, a downgrade, a meeting with CS, a walkthrough. The AI uses probes to ask; the playbook to act.
- 2
Wire the link into your cancel flow
Drop the link at the end of your cancel page, your confirmation email, or your downgrade flow. Every churned account launches their own session.
- 3
The AI runs the interview — and saves where it can
It probes the reason, distinguishes saveable from lost, and deploys the matching offer inside the interview (the discount for price objections, the walkthrough for missing features, the escalation for relationship issues). All in 3-5 minutes — the warm window.
- 4
Close the loop
Accepted saves go back into the subscription. Declined saves + lost churn feed the retention dashboard and product priorities. Every cancel becomes either a kept customer or structured signal.
Every variation of a cancel moment
02
Downgrade interviews
When a customer drops from Pro to Free, capture what stopped justifying the upgrade. Those reasons are gold for pricing and packaging decisions.
03
Failed-to-convert interviews
Trial users who never converted are a forgotten segment. An AI interview at trial-end surfaces why they didn't pay — and whether it was onboarding, fit, or price.
04
Churn risk interviews
When health scores dip, proactively trigger a light-touch interview. Catch dissatisfaction while there's still time to respond.
05
Win-back research
Six months after a customer churned, run a structured interview: did the problem come back? Would they consider returning? What would need to be true?
06
Support-driven cancellations
When someone cancels after a rough support experience, the AI probes what specifically went wrong — turning bad moments into fixable patterns.
Static exit survey vs. AI cancel interview
Without Diaform
Static exit survey
- 5 checkboxes that rarely fit the real reason
- One-line textbox gets one-line answers
- No distinction between saveable and lost
- Retention team gets a pie chart of 'other'
- Saveable churn walks out the door unnoticed
With Diaform
Diaform cancel interview
- Structured reason codes + open-ended truth
- 3-5 minute conversation with probing follow-ups
- Saveable vs. lost flagged automatically
- Retention team gets a prioritized pattern dashboard
- Saveable churn gets an offer (discount, pause, meeting) deployed mid-conversation
FAQ
Frequently asked questions
Q
What is an AI churn survey?
An AI churn survey is a cancel-flow interview conducted by an AI moderator instead of a static form. When a customer cancels, the AI runs a short structured conversation — probing the specific reason, distinguishing saveable from lost churn, and capturing verbatim detail that a checkbox survey can't.
Q
How is this different from a Typeform exit survey?
A Typeform exit survey asks the same questions in the same order to every customer. An AI churn survey adapts to what the customer actually says. When the answer is 'too expensive', it asks 'compared to what' — and you learn whether it's absolute price, value perception, or a competitor anchor.
Q
What save actions can the AI trigger — and does that actually reduce churn?
You configure the save menu in advance. Typical options: a percentage discount, a one-month pause instead of cancel, a downgrade to a smaller plan or free tier, a scheduled call with CS or a founder, a walkthrough of a feature they didn't realize existed. The AI only offers what matches the reason it uncovered — pricing objections get a discount or pause, missing-feature cancels get a walkthrough, relationship issues get escalated to a human. The pattern customers see: 10-20% of cancellations are saveable with the right in-conversation offer. The rest — lost churn — still informs the product roadmap with better precision than a checkbox survey ever did.
Q
How long does a cancel interview take?
3-5 minutes is the sweet spot. Long enough for real probing on 2-3 topics, short enough that churning customers actually finish. Completion rates are typically 60-75% of cancelers — well above static exit surveys.
Q
Can I still get structured data for my dashboards?
Yes. Every interview produces both a structured reason code (for charts and trend tracking) and a verbatim summary (for context). You get the pie chart and the story.
Q
How do I wire it into my cancel flow?
You get a share link. Drop it into the end of your cancel confirmation page, your cancel confirmation email, or your downgrade flow. No engineering integration required. If you want tighter integration — passing customer ID or plan metadata — the link supports query parameters.
Q
Does it work for B2B and B2C?
Yes. The probing style adapts — B2B cancel reasons skew to integration, procurement, and internal champions; B2C skews to price, fit, and life changes. The AI's probing is shaped by your research goals and context, so it's appropriate for either.
Q
What languages does it support?
Diaform supports 30+ languages natively. Cancel interviews run in the customer's language; summaries come back in English so retention can review globally from one dashboard.
Explore more
Dive into the other ways Diaform can power your research.
AI survey tool
The broader AI survey tool — replace static forms across your entire customer lifecycle.
Onboarding feedback
Catch friction at the start of the customer journey before it becomes churn later.
AI user research platform
The broader research workflow — moderated discovery, JTBD, and synthesis with the same AI researcher.
Ready to upgrade your feedback loop?
Stop guessing why users leave. Start an automated interviewer in seconds and get the deep insights of a Zoom call at the scale of a survey.
14-day free trial · No credit card required · Setup in 30 seconds