Run 50 user interviews this week. Without scheduling any.
HaveTheWhy is self-serve, AI-moderated research: describe what you want to learn, and it builds an AI interviewer that talks to your users in WhatsApp, Telegram, or web chat, then turns the answers into a decision-ready Snapshot analysis. The depth of an interview at the scale of a survey.
In active beta. First project is free in exchange for product feedback.
Say you want to know why customers cancel in their first 60 days.
- 01
You set the goal
~5 minOne sentence — the decision you're trying to make. Your AI interviewer designs the conversation around it: opening, key questions, scoring rubric. No scripts to write, no branches to wire up. You review and approve before it ships. Optionally, upload extra context (knowledge base, docs, past research) so the interviewer is fully fluent in your domain.
- 02
You share the link with your audience
One link, branded with your logo. You send it out — an email to customers, a message in your community, an in-app prompt, or paid ads. Respondents open the chat in their browser or right in a connected messenger like WhatsApp or Telegram. Zero install.
- 03
They chat with the AI interviewer
Mostly on their phone. Voice or text. The interviewer transcribes either, asks follow-ups based on what they said, skips what's already covered. You set the depth — a 5-minute pulse check or a 30-minute deep interview.
- 04
You get the Snapshot
Top findings ranked by impact, with verbatim quotes. Full raw transcripts exportable as JSON or CSV. Generated on demand — minutes after responses arrive.
No calls scheduled. No interviewers hired.
Not a survey. Not a chatbot. A short, focused conversation.
They already use it.
The conversation happens in WhatsApp, Telegram, or web chat. No install. No new app.
Voice or text — their choice.
Most respondents switch between both. The interviewer transcribes voice in any of 30+ languages.
The interviewer only goes deeper where it matters.
No 12-page form. No mandatory fields. If they answered something already, the next question knows. If they said something interesting, the next question asks why.
In beta, completion rates run significantly higher than forms or scheduled calls.
A report, an analyst, and the raw data.
One option is the auto-generated Snapshot. Another is the chat with your data. The third is to take the transcripts and run your own analysis. Use one, or all three.
Snapshot report
Top findings ranked by impact, with verbatim quotes. Completion rates, drop-off points, structured respondent profiles, scoring across categories you defined upfront. Generated automatically.
Deep Analytics Chat
An AI analyst that has read every transcript. Ask in plain English: "show me all respondents with high purchase intent", "what blocked enterprise leads", "draft a section for my investor deck on churn."
Raw transcripts
Exportable as JSON or CSV. Plug into Claude Code, n8n, or your own pipeline. We give you the data, you decide what to do with it.
Every insight in every Snapshot links back to the verbatim quote that produced it. No black box.
The interviewer isn't running a script.It's running on three things at once.
Your business goal.
Loaded once at setup. The interviewer knows what decision you're trying to make — and steers the conversation toward it.
Your domain context.
Loaded once. For a B2B SaaS company, that's how your buyers talk about onboarding, procurement, renewals, integrations. For a consumer app, different vocabulary entirely. You don't have to re-explain your industry on every interview.
The user's previous answers.
Read in real time. The interviewer skips questions that are already answered, goes deeper on the ones that matter, rephrases when something didn't land. No two conversations are the same.
That's why no form, even one with AI follow-ups, does this.
Six research projects you can run today.
Why are customers cancelling in their first 60 days?
- Audience
- Your churned and inactive users from the last 90 days.
- Output
- Top 3 fixable churn drivers, ranked, with quotes.
- For
- Product, Customer Success, Retention.
Which segment has the sharpest pain we solve?
- Audience
- Hypothesis-fit prospects from your CRM or community.
- Output
- Segment-by-segment evidence of pain, urgency, budget, and weak alternatives.
- For
- Founders, early-stage PMs.
Did the new feature actually land?
- Audience
- Users in the first 60 days of the rollout.
- Output
- What got used, what got skipped, what to fix next.
- For
- Product, Growth.
Where is time-to-value slowing down?
- Audience
- Customers in their first 30 / 60 / 90 days.
- Output
- Product friction vs organizational friction, mapped.
- For
- Onboarding, CS, Product.
What do users actually trust our AI features to do?
- Audience
- Users of your AI features (and the ones who turned them off).
- Output
- Trust segments, adoption blockers, governance signals required.
- For
- Product, AI team leads.
Anything you'd ask in a 1:1 — at scale.
- Audience
- Your own team.
- Output
- Themes, sentiment, structured profiles.
- For
- HR, People Ops, founders.
Don't see your question here? Teams have also used HaveTheWhy for pricing research, message testing, partner discovery, and feature prioritization. Describe the decision you're facing in the creation wizard — the platform builds the interviewer around it.
Small details that change the data.
The difference between a survey people abandon and a conversation people finish lives in the details. Here's what we obsess over.
Automatic follow-ups
Respondents who drop off mid-conversation get gentle nudges to pick up right where they left off. Completion rates go up without anyone on your team chasing.
Any language, auto-detected
The interviewer speaks the respondent's language — auto-detected from their first reply, or set manually per audience. One study, many markets, no translation step.
Empathy & interview psychology
Built-in interviewing technique: open-ended phrasing, active listening cues, non-leading follow-ups. People actually talk — the way they would to a thoughtful human.
Goal-aligned closings
At the end of each conversation, the interviewer summarizes the top 2–3 themes from that respondent and offers a relevant next step — a consultation, a resource, or a follow-up call.
A good fit for some teams. Not the right tool for others.
Good fit if
- You have an existing audience: users, churned customers, employees, beta list, newsletter, CRM.
- You're making a product, GTM, pricing, or messaging decision in the next 90 days.
- You've wanted to do 30 user interviews and never had the calendar for it.
- Your team is already working with AI tools and wants raw data they can analyze themselves.
- Your audience is reachable by email, in-app message, or WhatsApp — or you're ready to run ads to your interview link.
Not us if
- You need cold panel recruitment. We don't supply respondents.
- You need real-time customer support automation. We ask questions, we don't answer them.
- You only need quantitative NPS dashboards.
The data is yours. The methodology is auditable.
Your audience, your data.
You bring the respondents. We don't sell or share any data. Transcripts and analysis stay in your workspace.
Every insight is clickable.
Each conclusion in the Snapshot links back to the verbatim quote that produced it. No black box. No 'the AI said so'.
You review before anything ships.
The interview flow, the questions, the scoring rubric — all reviewed and approved by you before a single user sees a message.
Human-in-the-loop where it matters.
The interviewer is constrained by the goal and rubric you set. It doesn't freestyle. It doesn't lead respondents. It doesn't generalize beyond what people actually said.
GDPR-friendly setup. SOC 2 in progress. Custom data retention and PII redaction available on request.
Start with one decision. The platform handles the rest.
Test the HaveTheWhy AI interviewer in action. Take a short fit-check survey to see whether it fits your goals. You'll also get 5,000 free usage credits to start.
- 01One use case. One audience. One decision.
Pick the sharpest open question your team is asking — and the audience you'll invite to answer it. One focused project beats five vague ones.
- 02Your AI interviewer prepares the interview. You review.
Based on your goal (and any context you upload), it designs the opening, key questions, and scoring rubric. You review and adjust everything in Settings — and can test-chat with your interviewer — before anyone real sees a message.
- 03You share one link.
Send it to the audience you already have — customer emails, your community, CRM contacts — or point paid traffic at it. Respondents talk to the interviewer in web chat or right inside WhatsApp or Telegram, voice or text — with Slack, Intercom, and more integrations on the way. Keep the chat open to anyone, or restrict it to your own audience.
- 04Raw data immediately. Insight in minutes.
Transcripts stream in as people finish. Analytics on-demand, or auto-generated after a threshold of completed interviews. Real value the moment respondents hit send — no waiting on a weekly report.
Want help along the way? During beta we're happy to walk you through your first project — just reach out.
Questions we hear.
No, and it's the question we get most often.
ChatGPT is great at conversation but bad at research. It will follow whatever the respondent says, lose track of the goal, ask leading questions, and forget what's been covered.
HaveTheWhy is constrained by three things: the business goal you load, the scoring rubric you approve, and a coverage map that makes sure every respondent is asked the questions that matter. The interviewer adapts inside that frame — it doesn't freestyle outside it.
Some will, some won't. That's true of any research method.
In our beta we're seeing 30–40% completion rates on warm lists — significantly higher than asking the same people to fill in a form or book a call. Cold lists drop fast, which is why we recommend starting with your own audience.
The respondent experience is designed to feel like a short, focused conversation, not a fake human interview. No avatars, no 'Hi, I'm Sarah!' gimmicks. The interviewer introduces itself as an AI, says how long it'll take, and respects that.
Those are form tools that added AI features. We're a research tool that runs on conversation.
A form asks the question you wrote. We ask the question, then ask 'why' until the person actually answers it. A form has 12 fields. We have one objective and an adaptive conversation that flexes around it — as light or as deep as you set it.
If your research question fits in a 5-field form, use a form. If it doesn't, talk to us.
Your audience, your data. We don't sell, share, or train on anything that comes through your workspace. GDPR-friendly setup, SOC 2 in progress, custom data retention available.
For a first beta we recommend not touching any sensitive data anyway — qualitative research is mostly about opinions, workflows, and blockers, which are low-risk inputs. We can talk integrations and compliance once we've proven insight quality.
No. We're a research tool, not a panel — inviting your audience is in your hands, by design.
HaveTheWhy works best when you already have access to the people you want to hear from: users, churned customers, employees, newsletter subscribers, CRM contacts, communities. You can also point paid traffic — ads or sponsored posts — at your interview link.
If you need cold panel recruitment, a dedicated panel provider is the right tool for that — we're happy to point you in the right direction.
The output is not a dashboard. It's a decision memo with the evidence underneath it.
A typical Snapshot reads like: 'Top 3 churn drivers, ranked, with quotes. Recommendation: fix X first. Evidence: 17 of 24 respondents mentioned it. Counterexample: 4 enterprise users didn't, because of Y.'
The dashboard view exists if you want it. But the primary output is the memo you'd actually use.
Not sure if it's for you? Try it in 3 minutes.
Test the HaveTheWhy AI interviewer in action. Take a short fit-check survey to see whether it fits your goals. You'll also get 5,000 free usage credits to start.