ask/engine
Early Access

Know what your users believe. Continuously.

Run interviews while you sleep. Wake up to signals, recommendations, and the questions you should ask next.

Across studies, participants describe voice interviews as less performative than forms — they say things they would never type into a survey.
Onboarding discovery × Pricing sensitivity
AskEngine recommends showing example objectives during study creation because founders consistently stall at the blank objective field.
Onboarding discovery × Study creation drop-off
Waitlist founders expected AskEngine to replace their discovery calls, while active teams use it to decide which users are worth a live call.
Waitlist discovery expectations × First-month team workflows

01.

Interviews run while you build

Set an objective. Share a link. Your users talk to an AI interviewer that adapts in real time. No scripts, no scheduling, no moderation.

M
Maya

4 min · Apr 8

Founder of a 6-person SaaS team. Tried AskEngine after struggling to synthesize 12 interviews by hand. Said the objective field "felt like the moment everything clicked."
Score: 0.84

11 Insights

02.

Signals surface across every study

One interview is an anecdote. Twenty across three studies is a signal. AskEngine detects these signals automatically and tracks them as they strengthen or shift.

Theme Trend
Objective field is the biggest onboarding blocker
Rising
Founders want examples, not blank fields
Rising
Voice format feels less performative than forms
New

last updated 2 hours ago

03.

You get told what to build

When evidence is strong enough, the system writes a recommendation: what to change, why, and what contradicts it. When evidence is missing, it tells you that too.

Show example objectives during study creation
Founders consistently get stuck at the objective field. Inline examples would unblock onboarding.
Strong
Counter Evidence
Some founders preferred the blank field — it forced clearer thinking before writing.

Resolved

04.

One belief layer, three surfaces

Everything AskEngine learns becomes one queryable belief layer — every belief traceable to the interviews behind it. Read it, wire your agents into it, or build on it.

Workspace
Signals, recommendations, and research gaps land in your morning briefing, with the evidence one click away.
MCP
Your agents query the belief layer mid-task. Nineteen tools in Claude Code, Codex, or any MCP client.
API
The same belief layer over REST. Pull signals, search evidence, and act on recommendations from your own product.