Code got cheap. Knowing what to build didn’t.

Ask your users why, while they can still tell you.

UserTold.ai runs a voice interview about the moment a real user gets stuck, in the same session — the quote, the screen, and the page path stay together. You and your coding agent review the Evidence before it supports a Finding.

Start recording Watch it in 46 seconds

Voice + screen + navigationMCP · CLI · REST$0.25 / recorded minute

Interview — trial user, day 3study: onboarding-friction

navigation/pricing/settings/account← back ×2/settings/accountscreenvoice

01:12 observed02:22 said02:41 asked why

Observed01:12

Opens account settings. Scans. Goes back. Returns and scans again.

/settings/account → back ×2

Said02:22

“I expected billing under account settings. I went back twice and still couldn’t find it.”

Asked why — 19 seconds later02:41

The debrief asks about the exact moment it just watched — while the user can still explain what they expected and where they looked.

Evidenceextraction confidence 91%
Quote, replay, and page path stay attached.

Draft FindingUsers look for billing in account settings — 3 linked moments from 3 users.

✓ Pushed to LinearAfter source review, send the Finding to Linear. Your team decides whether to take it into delivery.

● WatchingWhen the Linear issue completes, later Evidence can prompt a review for possible recurrence.

The gap

You have the users. You keep missing the moment.

Nobody books the call

You email ten users a calendar link. One replies. Zero show. The personalized feedback email? Crickets — even from the power users.

Analytics say what, never why

The funnel shows where they left. Session replays pile up that nobody has time to watch. The reason walks away untold.

Feedback arrives without context

A churn survey says “too complicated.” Which screen? Which task? By the time you can ask, they’re gone.

UserTold asks at the only moment users can actually answer: while it’s happening, inside your product.

How it works

From a real moment to a merged fix

Choose a research question, collect interviews, and review the Findings before sending them to your tracker.

01 · Study

Choose what to learn

Install the project script once. Set the study goal, participant task or questions, and pages where users can join.

02 · Interview

Interview users in your product

With consent, record conversation and product use. Screen recording is available on supported desktop browsers.

03 · Evidence

Review the source moments

Open evidence cards linked to what participants said or did, with the recording timestamp and available page context.

04 · Finding

Understand the pattern

UserTold groups related evidence into draft Findings. Check the sources and the summary, then mark a Finding reviewed.

05 · Delivery

Send a reviewed Finding

Choose which Findings to send to Linear for product triage or to GitHub for delivery. Each issue keeps its evidence links.

06 · Follow-up

Check after completion

Linear completion resolves linked evidence. Review similar evidence from later interviews to see whether the problem may have returned.

Evidence-first

Open the evidence. Don’t trust the summary.

AI research tools hand you conclusions. UserTold hands you conclusions with the receipts attached — what a person said, what was observed, and what the model inferred stay in three separate fields, next to the second of the recording they came from.

Evidence · struggling_momentses_xyz789 · 02:22

“I tried this flow three times and still cannot find where to change billing.”

Replay 02:22/checkout/step-3Extraction confidence 91%2 similar moments

The same evidence, as your agent sees it

{
  "signal_type": "struggling_moment",
  "quote": "I tried this flow three times and still cannot find where to change billing.",
  "observed_facts": ["Returned to /checkout/step-3 three times"],
  "interpretation": "Billing settings are not where users look for them during checkout.",
  "confidence": 0.91,
  "intensity": 0.8,
  "interviewRef": "ses_xyz789",
  "timestamp_ms": 142300,
  "page_url": "/checkout/step-3"
}

For coding agents

Your agent can ship. Now it can find out what’s worth shipping.

UserTold puts MCP, the CLI, and the API first. A coding agent can design a study, wait for real users to take part, and read the evidence as JSON, where every tool declares the exact shape of its answer up front, before it proposes a fix.

MCPmcp.usertold.ai/mcp — OAuth, tools for projects.* studies.* interviews.* evidence.* findings.*

CLIusertold study create --title "My Product Study" --activate --format json

HandoffReviewed Findings can be sent to Linear intake or GitHub delivery with quotes and source moments attached.

See how agents use UserTold →

# an agent-run study, end to end
read  usertold://projects
call  studies.create
      … real users take part, inside your product …
call  evidence.list
call  findings.create_from_evidence
      … human or agent verifies the grouping …
call  findings.send                → Linear UT-214

On purpose

Three things UserTold refuses to do

Recruit strangers

No panels, no rented respondents. It interviews people already using your product — and a Study with no takers stays at zero Interviews instead of producing Evidence from nowhere.

Interrupt a struggle

During observation, stuckness is evidence. The interviewer doesn’t jump in to rescue, hint, or steer — it asks why afterward, when the moment is on record.

Fake certainty

What a participant said, what was observed, and what the model inferred are never blended. Every Evidence card carries its source and a confidence score.

Pricing

Priced like an API, not a research department

Pay for recorded interview minutes. No subscription, no seats, no per-interview minimum — billed on exact recorded seconds, itemized in Billing.

Managed AI

Inference included

$0.25 / recorded minute

One predictable UserTold charge. We operate and pay for the interview AI.

5 min $1.2520 min $5.0060 min $15.00

BYOK

Your OpenAI key

$0.15 / recorded minute

UserTold charges the platform fee. OpenAI bills inference directly to your provider account.

5 min $0.7520 min $3.0060 min $9.00

Start with Managed AI Pricing details

Questions

Before you ask

From users your team can already reach. Invite them through your product or a direct study link. UserTold does not recruit participants or guarantee responses.

AI user interviews inside your product

An interviewer that asks about what just happened.

Let a user try a real task. UserTold observes, prepares a running evidence summary when enabled, then uses it for a planned voice debrief. Ask about their expectation while the experience is fresh.

Explore the AI interviewer →

The next thing you ship should be something a user told you.

Add the script to your product, verify it on one page, and take the starter interview yourself. Read the evidence it produces before you point it at real users.

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