Product AI agent · Research analysis

User-Research Analysis AI Agent

Hold each transcript inside the consent it was taken under: purpose tagged at intake, sensitive lines redacted, retention clocks running, and the coded themes released by a named research lead.

Typical delivery
4–6 weeks
Deployment
Your stack
Research lead
Consent-scoped
After launch
Agent Care

What this agent does

Codes the themes, and holds the words

In

  1. 01

    A consent is taken, and Art. 5(1)(b) binds the corpus to the purpose it names.

  2. 02

    A transcript lands, and the study purpose, the recording state and the retention date ride with it.

Reason

  1. 03

    A recording starts, and Florida and Pennsylvania turn on expectation, not on secrecy.

  2. 04

    A line reveals a diagnosis, and C-184/20 puts it inside Art. 9 whether or not it was sought.

  3. 05

    A corpus is queried, and the Art. 6(4) compatibility factors are put to the question first.

Decide

  1. 06

    A withdrawal arrives, and EDPB Opinion 28/2024 denies the model a blanket claim to anonymity.

  2. 07

    A study runs under a Federalwide Assurance, and 45 CFR 46 attaches to work it never funded.

Out

  1. 08

    A theme is coded, and no rule reaches that step, so the controls sit around it instead.

  2. 09

    Execute write actions only inside the approval boundaries agreed during implementation.

Product statement

Tagging, redaction and coding belong to the agent. Release belongs to a named research lead, and a wrong finding is withdrawn, re-coded and logged against the study.

Example workflow

One study, consent to finding

  1. 1Session material receivedRecordings, transcripts, moderator notes, diary entries or intercept responses
  2. 2Consent and purpose boundThe purpose the participant agreed to, the recording state, the jurisdiction and the retention date
  3. 3Redaction and coding runThe redacted transcript, the codes applied, the quotes carried and confidence
  4. 4Controls appliedPurpose checks, special-category checks, retention checks and coding confidence

No human action required

Stages 1 to 4 run unaided, and nothing leaves the repository at any of them — the agent is coding, and the researcher lane opens at the purpose gate.

5DecisionSplits at the purpose gate
Purpose matches consent

Goes to the named research lead.

Anything outside it

Adds a privacy counsel read first.

Researcher review

The theme is held with its quotes, its consent scope and the redactions made.

Release · Append quote · Send to privacy review

Released — by the named research lead

  1. 6Repository and report records updatedOnly where write access and retention policy allow it
  2. 7Outcome evaluatedPurpose fit, redaction misses, researcher corrections and what review found

Corrections

Each researcher correction is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Releasing a finding into a product decision.
    • Setting the purpose a study is collected for.
    • Deciding a corpus may answer a new question.
    • Signing a participant consent form.
  • Automation boundary

    Agent acts unaided

    • ✓Bind each transcript to the consent record behind it.
    • ✓Run the coding pass, and carry each quote back to its transcript.
    • ✓Redact special-category lines as the corpus is indexed.
    • ✓Hold each theme for the named research lead, with its scope attached.

    Nothing leaves the repository except by a named research lead, inside the agreed boundaries.

    • Judging whether a theme is supported at all.
    • Inferring emotion from voice or facial video.
    • Extracting a voiceprint or face geometry.
  • Changes to consent, retention or purpose rules.

Example output

One coded theme, annotated

This serves a research team who may have to show, long after a study closed, what a participant agreed to; below is one theme exactly as the agent leaves it.

Theme output · single study

Illustrative example
Study
Onboarding, mid-market admins
Coded theme
Setup stalls at the invite step
Quote carried
Purpose tag, onboarding
Consent of record
Consent form, 3 August 2026
Confidence
Held unreleased
Held for
The named research lead, by name

As received

Taken from the recorded session and the signed consent, and it claims nothing beyond them.

What the record holds

  • Signed consent
  • Redacted transcript
  • Retention date

Why no release here

Taking a theme into a product decision is a judgement a lead makes.

What the score decides

Below the configured threshold a theme gets a privacy read before the lead sees it.

Action

ReleaseAppend quoteSend to privacy review

Value

Where AI adds value

The same four claims, placed at the point in the workflow where each one applies.

Where the value lands

Value 01 – 04

Every transcript

From the consent it was taken under

03Analysis

Where the corpus is used

A research agent collapses a citation chain to a source; this one holds the words of a named participant under the consent they were given under.

01Approved path

The corpus outlived its purpose

Ask a repository a question nobody was recruited for, and the purpose recorded at collection stops covering it, with nobody having lied.

02Human review

What was checked, and not found

No rule was found requiring a company to run user research, to run it competently or to report what it finds honestly, and Illinois has had no flat all-party recording prohibition since Public Act 98-1142, so what the agent carries is the consent, not a standard of practice.

04

Build an evidence trail

The transcript, the consent it was taken under and the researcher who coded it stay together.

Integrations

Typical integrations

Five system groups connect to the same agent. Which of them are in scope is decided in discovery.

  • Research repositories

    • Dovetail
    • Condens
    • EnjoyHQ
    • Coded studies, quotes and tags
  • Session recording

    • Zoom
    • Teams
    • Lookback
    • Session recordings and transcripts
  • Participant panels

    • Respondent
    • User Interviews
    • Screeners, consents and incentive records

Agent

User-research analysis

  • Reads the consent
  • Codes the transcript
  • Holds for the lead
  • Product and issue systems

    • Jira
    • Productboard
    • Notion
    • Findings, themes and the issues raised
  • Observability & evaluation

    • OpenTelemetry
    • Langfuse
    • Supported monitoring/evaluation sources

Integration availability depends on the client's existing systems and API access.

Agent controls

Six filters between the corpus and the finding

Six filters down one line, the last the closest. What is retained is drawn in the map below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeNarrow the agent to retrieval only when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt and redaction rules, and note the version each theme was coded under.Track
L4TraceabilityRecord each theme, the quotes under it, the consent it sits inside and each read of the file.Record
L3Researcher releaseHold the theme for a named research lead; the hold governs release, not whether the coding is right.Gate
L2Purpose guardrailsTest each query against the purpose recorded at collection; a purpose written loosely still passes.Restrict
L1Redaction thresholdsRoute a suspected special-category line to a privacy read; an oblique one is missed.Require review
Model coreTheme coded — the quotes, the consent scope, the redactions and the confidence
L1 – L2
Test whether a theme may stand
L3
Hands the release to a named research lead
L4 – L5
Keep the transcript and the consent behind it
L6
Withholds the theme when signals degrade

How Nestack evaluates it

Evaluate the whole analysis — not only the theme that comes out.

Coverage runs the whole depth of the workflow, and every layer is cut by slice.

Surface — the finding a decision carries

  1. E1Final-output evaluationDid the theme record the consent scope it was coded inside?
  2. E2Step-level evaluationDid the agent read the right study, the right purpose and the live redaction rules?
  3. E3Tool evaluationDid it read and write the correct study and the correct theme?
  4. E4Confidence calibrationDo low-confidence themes actually attract more researcher corrections?
  5. E5Slice evaluationHow does performance change across specific study types?
  6. E6Business outcomeHow many themes needed a correction before the lead released them?

Floor — the corpus a finding rests on

Failure modes

Where each failure originates in the agent

Seven failure modes, each set where the stage first exposes it.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • QF-03

      Superseded consent read

      The consent read is not the one the participant signed.

    Stage gathers

    The consents, the sessions, the purposes and the codes

  2. 02 · Reasoning

    2 modes

    • QF-04

      Theme asserted, not evidenced

      A theme appears with no quote beneath it.

    • QF-06

      Closed purpose read as live

      A shut study is worked as an open one.

    Stage proposes

    The consent scope, the redactions and the codes

  3. 03 · Tool / write

    2 modes

    • QF-02

      Thin theme passed forward

      A theme moves on without the privacy read.

    • QF-05

      Quote bound to wrong participant

      The words are filed against another person.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • QF-01

      Released, consent unrecorded

      The record shows release but not the consent under it.

    Stage returns

    The finding a team acts on and a board reads

  5. 05 · Change / Version

    1 mode

    • QF-07

      Silent purpose drift

      A corpus widens while the stored purpose keeps the old one.

    Stage tracks

    Model, prompt, purpose rules and consent dates

  • Sev-1 · a corpus read outside its purpose
  • Sev-2 · a raw quote reaches a report
  • Sev-3 · consent degrades, theme held back
See the complete Product failure-mode catalogue

Affected slices

Re-used corpora absorb the corrections

A study-level purpose figure can read clean while a small number of re-used legacy corpora carry most of the corrections. Nestack reports the correction rate by slice, not only in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Re-used legacy corpora11.4%3.7×Review
Employee-participant studies8.1%2.6×Review
Recorded video sessions5.1%1.7×Watch
Single-study text corpora2.5%0.8×Normal

Bar: correction-rate lift vs. single-study baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

What a widened corpus costs

A loop closes when the study reused outside its stated purpose is a standing case. That suite is what the next corpus indexed is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Correction rate rises on re-used legacy corpora.

  2. 02

    Diagnose

    The interviews taken to fix onboarding, now answering a question about price, are read back against the consent until one cause is left standing.

  3. 03

    Improve

    Number the change; the transcripts that drove it are filed beneath it.

  4. 04

    Verify

    A single red consent case stops the whole release.

  5. 05

    Learn

    One case joins the suite, one line joins the intake rules.

  6. Learn → Detect

    The return edge. The next corpus is measured against a suite one case longer.

Typical build scope

Twelve workstreams across six weeks

The build scope read against the delivery timeline. Week structure follows the six-week plan — discovery, sources, transcript analysis, evaluation, integration, then production validation and handover.

Workstream

Week 1Week 2Week 3Week 4Week 5Week 6

  1. 01Consent-scope mapping and automation-boundary work.Week 1
  2. 02Repository, recorder and panel sources.Week 1, Week 2
  3. 03Purpose-to-transcript and consent-coverage mapping.Week 1, Week 2
  4. 04Transcript ingestion.Week 2
  5. 05Consent, purpose and study binding.Week 2, Week 3
  6. 06Redaction scoring and review routing.Week 3
  7. 07Researcher release workflow.Week 3, Week 4
  8. 08Repository and tracker integration.Week 5
  9. 09Consent and purpose cases.Week 4, Week 5
  10. 10Guardrails and purge controls.Week 4
  11. 11Transcript-trail instrumentation.Week 5, Week 6
  12. 12Deployment, documentation and Agent Care handover.Week 6

12 workstreams · 6 weeks · bar shows the weeks a workstream is active — several run in parallel

Final scope and sequence confirmed in discovery

Engagement tiers

What each tier includes

Rows are the capabilities named in each tier's scope. Higher tiers include everything below them.

Capability✓ in scope · — not at this tierPilotOne study, one roundProductionProduction research workflowAdvancedMultiple studies / regions
Introduced at Pilot
Coding to your study purposes✓✓✓
Named researcher release✓✓✓
Participant-consent baseline✓✓✓
Introduced at Production
Reporting by study purpose—✓✓
Researcher review workflow in your systems—✓✓
Approved write-back—✓✓
Repository-and-recorder integration—✓✓
Introduced at Advanced
Multi-jurisdiction recording rules——✓
Cross-study theme packs——✓
Large transcript archives——✓
Multi-study retention controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, transcript volume, approval controls and deployment requirements.
Separate from build
Build pricing is separate from recurring Agent Care, which covers managed monitoring, evaluations, incidents and verified improvements after launch.

What we need from you

What you bring, and what we build with it

Each input maps to a piece of build scope and a week in the delivery timeline.

  1. 01Your live studies and the purpose each was collected for

    Consent capture and purpose versioning

    Week 1
  2. 02Representative transcripts, recordings and notes

    Source binding, redaction rules and the coding baseline

    Week 2
  3. 03Your retention schedule and the leads it names

    Consent mapping, purpose binding and the automation boundary

    Week 1
  4. 04Access to relevant APIs, feeds or exports

    Repository, recorder and panel assessment, then integration setup

    Week 2
  5. 05Transcripts you would not want subpoenaed

    Purpose cases and failure-mode testing

    Week 4
  6. 06What no study may re-use

    Redaction scoring, review routing, guardrails and release controls

    Week 3
  7. 07A named research lead who releases the finding

    Release to the named research lead, then pilot and production validation

    Weeks 5–6

Nothing else is required

Deployment, documentation and Agent Care handover are ours.

Delivery timeline

Four phases across six weeks

Two phases genuinely share week five here, and not one band was widened to make the column look tidy.

Phase

W1

W2

W3

W4

W5

W6

  1. DiscoveryW1
  2. BuildW2 – W3
  3. EvaluateW4 – W5
  4. Pilot & LaunchW5 – W6

Week focus

W1Consent discovery, purpose versioning and the automation boundary

W2Source integration and the participant-consent baseline

W3Coding workflow, redaction logic and release controls

W4Evaluation suite, purpose cases and failure-mode testing

W5Repository integration, pilot studies and targeted corrections

W6One study round run under the research lead, then Agent Care handover

Reading the band
A band covers the weeks its own work is named in, and week five carries two by design.
At the end of W6
When the consent record validates, Agent Care picks the agent up.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Product AI agent

Build a user-research agent around the consent your last study was taken under.

Show us one study you would re-open today and the form its participants signed. That form covered one purpose, for one study, for a stated term. If you build a regulated device, the record you must keep is the one the GDPR pushes you to delete.

Typical delivery
4–6 weeks
Deployment
Your live studies
Research lead
Consent-scoped
After launch
Agent Care available

Nestack Agents · User-research analysis

AGT-PRD-03 · Agent Care available after launch

Build a user-research agent

Four questions so the call starts from your actual setup — then pick a time that suits you.

About you
Your studies

No obligation. We’ll map the workflow, name the automation boundary and tell you if an agent is the wrong answer.