Quant data without the why
Mixpanel and Amplitude show that 38% of users drop off at step three. They can't tell you that the copy was confusing, the price felt wrong, or they were waiting for a teammate to approve.
Talk to 100 customers a week. Without booking a single call.
Diaform runs AI-led interviews for your product team. Drop a link into a feature flag, an email, or a churn flow, and get the "why" your dashboards can't answer, at the scale your roadmap actually needs.
14-day free trial · No demo required
Mixpanel tells you what. Customers tell you why.
Product managers live between two extremes. On one side, dashboards full of funnels, retention curves, and event counts that show what users do, but never why. On the other, a backlog of Zoom interviews that take a week to schedule and produce a recording nobody has time to watch. Most PMs end up scoring features and writing PRDs without ever hearing the customer's voice.
Diaform closes that gap. Each customer launches an AI-led conversation from a single link. The AI asks your questions, follows up when answers are vague, and sends back a summary with sentiment, themes, and the quotes worth pasting into your spec. You go from one interview a week to a hundred, and from "we think users want X" to "here is exactly what 47 of them said about it".
Where product managers get stuck
Zoom interviews don't scale
Five interviews per feature is the budget most PMs get. That's enough to hear an opinion, not enough to make a confident roadmap call. And recruitment alone eats a week.
Scoring features without customer voice
RICE, MoSCoW, ICE, every framework assumes you actually know what customers value. Without recent qualitative input, you're scoring your own assumptions.
What product managers get from Diaform
Feature validation in days, not sprints
Drop a link into a beta cohort. The AI walks each user through the new flow, asks what felt off, and you get clustered themes the next morning.
The why behind every Mixpanel chart
Pair quant funnels with an AI follow-up triggered at the drop-off step. Stop guessing what step three means.
Roadmap research at scale
Run a single conversation across 200 customers to compare three opportunity areas. Get real prioritization input, not the loudest sales account.
Mid-interview automations
Configure the AI to ping your Slack when a power user mentions a missing feature, capture an email, or offer a follow-up call.
Per-project knowledge base
Upload your PRDs, pricing, and roadmap so the AI can ask informed follow-ups, and answer customer questions accurately mid-interview.
Synthesis you actually use
Every conversation comes back with a summary, sentiment, keyword cluster, and the quotes worth sharing in your next product review.
Jobs PMs run on Diaform
Feature validation
Test a concept or beta with target users in their own words. Find friction before you ship.
NPS follow-up
Auto-trigger a conversation after every NPS submission. Stop staring at a 7 with no comment.
Churn diagnosis
Drop the link into your cancel flow. Catch the saveable accounts and the patterns behind the leavers.
Prioritization research
Ask the same trade-off question across hundreds of customers. Build your quarter on real signal.
Post-launch feedback
Trigger a pulse 7 days after a release. Catch regressions and confusion while it's still fresh.
Persona refresh
Run a quarterly study to keep your ICP definitions tied to who's actually buying and renewing.
Frequently asked questions
Q
I already use Mixpanel and Amplitude, why add this?
Diaform is the qualitative layer your analytics stack is missing. Mixpanel shows you the drop-off; Diaform tells you why it happened. Most PMs trigger an interview link from the same event that fires their funnel chart.
Q
How does this fit my current research workflow?
If you have a UX researcher, they'll use Diaform to scale moderation, running 100 interviews instead of 5. If you don't, Diaform gives you research-grade output without one. Either way, it lives next to your existing tools rather than replacing them.
Q
Can I trigger an interview from a specific in-product event?
Yes. Most teams send the link via webhook from their product (after a feature flag, a cancel click, or an NPS submission), or paste it into an automated email or Slack DM.
Q
How long does it take to set up a study?
About 15 minutes for the first one. You write the questions you'd ask in a Zoom interview, upload any context (PRD, pricing, roadmap), and share the link. The AI handles moderation and synthesis.
Q
What does the output look like for a sprint review?
Per-conversation transcripts and summaries, sentiment per theme, top quotes, and a cross-respondent cluster view. Most PMs paste 2-3 quotes and a chart directly into their review deck.
Q
Do customers actually answer? Won't they ignore an AI?
Voice + adaptive follow-ups feel closer to a real interview than to a chatbot. Completion rates beat static surveys, and answers are typically 2-3× longer because the AI probes when something's vague.
Explore more
Dive into the other ways Diaform can power your research.
Customer discovery
Run continuous discovery interviews with target users, without recruiting one Zoom at a time.
NPS follow-up
Trigger an AI conversation after every score so you stop staring at numbers without context.
Churn surveys
Catch the real reason customers leave, and save the ones who can still be saved.
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 demo required