Run 50 user interviews this week. Without scheduling any.
You write the goal. An AI agent runs the conversations in WhatsApp, Telegram, or web chat — voice or text. You get transcripts and a decision-ready report. The depth of an interview at the scale of a survey.
In active beta. First project is free in exchange for product feedback.
How it works · no scripts, no branches to wire up
Say you want to know why customers cancel in their first 60 days.
You set the goal
One sentence — the decision you're trying to make. The agent designs the conversation around it: opening, key questions, follow-up logic, 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 agent is fully fluent in your domain.
Generate the link
One link, branded with your logo. Respondents open the chat in their browser, or in any connected messenger — WhatsApp, Telegram, Slack, and more. Zero install. Zero login.
They chat with the AI agent
Mostly on their phone. Voice or text. The agent transcribes either, asks follow-ups based on what they said, skips what's already covered. Average completion: 8 minutes.
You get the report
Top findings ranked by impact, with verbatim quotes. Full raw transcripts exportable as JSON or CSV. Seven days from launch to decision.
No calls scheduled. No interviewers hired. No dashboards to build.
What your users see
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 login. No new app.
Voice or text — their choice.
Most respondents switch between both. The agent transcribes voice in any of 30+ languages. Even on a noisy train.
The agent 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.
Beta data: 30–40% completion rate on warm lists. Average finish: 8 minutes.
What you get back
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. Most teams use 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 Cloud 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.
Why a form can't do this
The agent isn't running a script.
It's running on three things at once.
Your business goal.
Loaded once at setup. The agent 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 agent 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.
What you can run with us
Six research sprints we 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 in the next sprint.
- 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? We've also done pricing research, message testing, partner discovery, and feature prioritization. Tell us what you're trying to decide.
Under the hood
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 agent 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 agent summarizes the top 2–3 themes from that respondent and offers a relevant next step — a consultation, a resource, or a follow-up call.
Honest fit check
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.
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.
- You're looking for a smarter Typeform — we're a different category.
- Your research has to follow a strictly standardized survey methodology.
Trust by default
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 agent 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.
How to start
Start with one decision. We'll handle the rest.
In exchange for structured feedback on the platform. We're in active beta and learning as fast as you are.
Start a research sprint- 01One use case. One audience. One decision.
Pick the sharpest open question your team is asking. We'd rather do one thing well than five things vaguely.
- 02Our AI agent drafts the interview. You review.
Based on your goal (and any context you upload), the agent designs the opening, key questions, follow-up logic, and scoring rubric. You sign off before anything ships — no scripts or branches for you to wire up.
- 03We run with a small respondent group.
Limited audience, web link or messenger only, no integrations needed for a first run.
- 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.
- 05Decide together what's next.
If it worked, we discuss what a longer engagement looks like. If it didn't, you tell us and we learn.
FAQ
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 agent adapts inside that frame — it doesn't freestyle outside it.
One decision, one audience, $0.
Tell us what you're trying to learn. We'll get back to you in a day.
Start a research sprint