Nobody follows up on the answers
Automated sending fills your inbox with "it was fine". Following up on each vague answer manually would take a full-time researcher, so nobody does, and the depth is lost.
Most survey automation means auto-sending the same static form. Diaform automates what actually takes your time: asking the follow-up, reading the answers, summarizing the results, and delivering them to your team, for every response, without you in the loop.
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Automated sending fills your inbox with "it was fine". Following up on each vague answer manually would take a full-time researcher, so nobody does, and the depth is lost.
Open-text responses queue up for a manual reading pass that keeps slipping. By the time someone tags the themes, the quarter has moved on.
The furious enterprise customer and the mildly content freelancer land in the same spreadsheet row. Without automated triage, the difference surfaces too late.
The AI probes every vague or interesting answer in real time, automatically, on every single response. The depth a human moderator adds, without the human hours.
Summaries, sentiment, and answer confidence are generated for every completed conversation. No reading backlog, no manual tagging step.
Every completed conversation posts to Slack with its sentiment, key insights, and a link to the response, so the furious customer stands out the same day.
The respondent invite API creates a targeted link for each person, with their email or customer ID attached, straight from your own systems. No manual send step.
Conversations run in 30+ languages automatically, with results summarized back for your team. Global feedback without a translation workflow.
Webhooks push responses into your stack as they complete; CSV export covers the ad-hoc pulls. The spreadsheet updates itself, effectively.
Questions, goals, business context, and how deep the AI should probe. This is the only manual step, and it takes minutes.
Drop the link into lifecycle emails, post-purchase pages, cancel flows, or embed it in-product. Any tool that can send a link can trigger the survey.
Every respondent gets a live AI conversation with adaptive follow-ups, by voice or text, whenever they arrive, at any volume.
Summaries and sentiment per response, aggregate analytics across them, a Slack notification as each one completes, and webhooks for the rest of your stack.
Every order triggers a short conversation. Themes accumulate in analytics; each completed response posts to Slack with its sentiment, so support sees a bad experience while the order is still recent.
Every cancellation gets a real exit conversation that captures the reason in the customer's own words, whether it happens at 2pm or 2am.
The score collection stays scheduled; the "why" conversation happens automatically after every score, no analyst required.
Trials that don't convert trigger a conversation about what was missing, and the answers arrive summarized into a weekly picture.
Day-7 conversations with every new signup surface activation friction continuously, not once a quarter when someone runs a project.
Each launch email links a feedback conversation. Reaction themes are readable days after ship, while iteration is still cheap.
The practical details behind setting up, running, and scaling this kind of research with Diaform.
Broadly, using software to run surveys without manual effort. Most tools automate distribution and reminders. The fuller version, what Diaform does, also automates the follow-up questioning during each response, the analysis of every answer, and the delivery of every completed response to Slack or your own tools via webhooks.
Explore the other ways Diaform can turn a static request for feedback into a useful conversation.
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