Collection is shallow
Static forms accept whatever they're given. "It was fine" and "too expensive" get logged as data, but nobody asked the follow-up, so the system collects words without meaning.
A customer feedback system that hears the why.
Most feedback systems are a form, a spreadsheet, and good intentions. Diaform closes the loop with AI-led conversations: it asks your questions, probes every vague answer in real time, and hands you summaries, sentiment, and alerts, so feedback actually changes what you build.
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Why most customer feedback systems fail
Analysis never happens
Open-text answers pile up in a spreadsheet that someone plans to read "next sprint". Manual tagging and coding is the step where most feedback systems quietly die.
Nothing routes to action
Even when insight exists, it doesn't reach the person who can act while it still matters. The churn signal from March surfaces in a quarterly deck in June.
How Diaform runs the whole loop
01
Collection that digs deeper
The AI reads each answer as it arrives and asks the follow-up a good researcher would. Vague answers get probed in the moment, while the customer is still there and still cares.
02
Voice or text, customer's choice
Voice answers run 2-3× longer and noticeably more candid. Customers switch between voice and text whenever they want, in 30+ languages.
03
Analysis built into every response
Each completed conversation returns a summary, sentiment, answer confidence, optional notable quotes, and the full transcript. No manual coding step between raw answers and insight.
04
Aggregate analytics across responses
Dashboards show sentiment trends, activity, and patterns across the whole response set. Filter, search, and export to CSV when you need to slice it your own way.
05
Alerts that reach the right person
Configure Slack notifications for red flags: a churning account, a critical bug mention, a vocal detractor. The system routes the signal while it's still actionable.
06
Actions fire mid-conversation
When a trigger is detected, a price objection, a save opportunity, a support question, the AI can offer a discount, book a meeting, or share a link in-flight.
How to set up your customer feedback system
- 01
Define questions, goals, and context
Tell Diaform what you want to learn, and give it your business context so its follow-ups are informed, not generic. This takes minutes, not a research sprint.
- 02
Put the link where feedback happens
Share one link, or embed the experience, at the moments that matter: post-purchase, post-onboarding, at cancellation, after an NPS score, in a lifecycle email.
- 03
The AI collects and probes
Customers answer by voice or text. The AI asks your questions, follows up on anything vague or interesting, and closes politely once it has what you asked for.
- 04
Review, get alerted, act
Summaries, sentiment, and analytics land automatically. Slack alerts push urgent signals to the right owner. Filters and CSV export handle the deep dives.
One system, every feedback moment
Product feedback
Run continuous product feedback conversations that probe feature requests and frustrations down to the root cause, not the surface complaint.
Churn and cancellation
Catch the real reason people leave, and fire a save action mid-conversation when there's still something you can do about it.
Onboarding and activation
Find the friction in the first week while the memory is fresh, and before the silent majority churns without telling you why.
NPS follow-up
The score tells you what happened. The conversation after the score tells you why, and what would move it.
Post-purchase
Capture impressions right after the purchase moment, when detail and emotion are still available to the customer.
Testimonials
Turn happy customers into publishable quotes, collected in the same system, with consent, in their own words.
The typical feedback stack vs. Diaform
Form + spreadsheet + good intentions
- Static questions, no follow-ups, shallow answers
- Open text piles up unread, analysis is a manual project
- Insights surface in quarterly decks, months late
- No routing, the right person hears about it last
- Tools don't connect, the loop never closes
Diaform
- AI probes every vague answer in real time
- Summaries, sentiment, and confidence on every response
- Aggregate analytics update as responses arrive
- Slack alerts route red flags the moment they happen
- Collect, analyze, and act in one system
Frequently asked questions.
The practical details behind setting up, running, and scaling this kind of research with Diaform.
A customer feedback system is the end-to-end process and tooling a company uses to collect customer feedback, analyze it, route it to the right people, and act on it. A good one closes the loop: feedback reliably changes decisions, and customers see the results.
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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