Knowledge & Research

User Research Agent

Runs structured interviews or synthesises transcripts into themes, quotes, and product opportunities.

Features

5

Tech

10

Steps

5

AI Agent

User Research Agent

Production-readyObservable
OpenAI GPT-5
Anthropic Claude 4.7
Whisper

Capabilities

What this agent does

Every capability is shipped end-to-end — not a feature flag. You get a working slice on day one and we expand from there.

Feature 01

Interview moderator

Conducts unbiased async or live interviews via chat or voice.

Feature 02

Theme extraction

Clusters answers across dozens of interviews into themes.

Feature 03

Pull quotes

Surfaces high-signal quotes ready to paste into a report.

Feature 04

Opportunity scoring

Ranks themes by frequency and emotional intensity.

Feature 05

Stakeholder digest

Auto-generates a slide-ready summary for leadership.

Stack

10 technologies we use

Production-tested tools chosen for reliability, observability, and developer velocity. Every piece is swappable.

OpenAI GPT-5Anthropic Claude 4.7WhisperDeepgramDovetail APILoom APINotion APILangChainVercel AI SDKpgvector

System at a glance

How the agent flows

A simplified view of what comes in, what the agent does with it, and what it produces. Each arrow is observable end-to-end.

Inputs

User questionIndexed documentsPermission context

Agent

User Research Agent

Plan → tool-call → reflect, with approval gates.

Tools the agent calls

OpenAI GPT-5Anthropic Claude 4.7WhisperDeepgramDovetail APILoom API+4 more

Outputs

Cited answerSource linksFollow-up suggestions
Every step traced in Langfuse / Braintrust · cost + latency monitored · full replay on failure · human-in-the-loop where it matters

Engagement

How we roll it out

A 5-step process from kickoff to handover. Every step has a deliverable you can sign off on.

  1. 01

    Define research question

    Co-write the discussion guide with the agent.

  2. 02

    Recruit + schedule

    Sync with calendaring + participant pool.

  3. 03

    Conduct or ingest

    Agent moderates live, or processes existing recordings.

  4. 04

    Synthesise

    Themes + quotes + opportunity map auto-generated.

  5. 05

    Share read-out

    Slack/Notion summary with click-through to clips.

Outcomes

What you can expect

Real numbers we see when User Research Agent ships on top of an actual workflow. Specifics vary with starting baseline, data quality, and scope — but these are the ranges.

Outcome 01

−85%

Lookup time

From minutes searching to seconds answering with citation.

Outcome 02

92-97%

Answer accuracy

Against ground-truth Q&A set, tuned over 6-8 weeks.

Outcome 03

10K+ docs

Source coverage

Per workspace, with permissioning and version awareness.

Sample use cases

What this looks like in practice

Three concrete scenarios where teams deploy User Research Agent today. Your engagement starts with one of these (or your own variant) and expands from there.

01

Onboarding new hires in 1 week

Engineers ask the bot anything about the codebase, runbooks, or product — answers cite the exact doc + line. Ramp time drops from 3 weeks to under 1.

02

Legal due-diligence acceleration

A counsel team uploads 200+ contracts. The agent surfaces non-standard clauses, missing indemnities, expiry windows — saves 60+ hours per quarter.

03

Cross-team policy clarity

HR + Finance answer 'can I do X?' questions from the workforce automatically, with permission-aware retrieval — sensitive policies stay private.

Typical engagement

From kickoff to live in 4-8 weeks

Most User Research Agent engagements follow this shape. We give you a firm quote after a 30-minute scoping call, and the price is fixed up-front so you can budget.

2-3 weeks

Pilot

  • Discovery + playbook write-up
  • Tool design + guardrails
  • Eval suite + sandbox deploy
Core

2-4 weeks

Production

  • Hardened deploy on your stack
  • Observability dashboard + alerts
  • Two-week supervised mode

Ongoing

Handover & support

  • Runbook + team training
  • Monthly tuning + eval review
  • Pause or expand any time

Indicative range

$2,000 — $5,500

Full project, scoped + fixed up-front. Includes pilot, production, and 30 days of post-launch support.

Or hire us by the week

from $750/wk

Embedded retainer — best for evolving scopes.

Ready to ship User Research Agent?

Tell us about your data, your tools, and what success looks like. We come back within one business day with a clear plan, price, and timeline.

Get started

Ready to ship the software your business actually runs on?

Tell us what you're building. We respond within one business day with a clear plan, price, and timeline.

16 industry CRMs shipped96+ clients · 14 countriesRemote-first · Global delivery