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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.

4–6 weeksTypical delivery
Your stackDeployment
Consent-scopedResearch lead
Agent CareAfter launch

What this agent does

Codes the themes, and holds the words

In
01

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

02

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

Reason
03

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

04

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

05

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

Decide
06

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

07

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

Out
08

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

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 Release belongs to a named research lead, and a wrong finding is withdrawn, re-coded and logged against the study.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

AgentHuman
1Session material receivedRecordings, transcripts, moderator notes, diary entries or intercept responses
2Consent and purpose boundThe purpose the participant agreed to, the recording state, the jurisdiction and the retention date
3Redaction and coding runThe redacted transcript, the codes applied, the quotes carried and confidence
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
6Repository and report records updatedOnly where write access and retention policy allow it
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 required8 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 boundaryAgent 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 studyIllustrative example
Study
Coded theme
Quote carried
Consent of record
Confidence
Held for
Onboarding, mid-market admins
Setup stalls at the invite step
Purpose tag, onboarding
Consent form, 3 August 2026
Held unreleased
The named research lead, by name
As receivedTaken 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 hereTaking a theme into a product decision is a judgement a lead makes.
ActionReleaseAppend quoteSend to privacy review
What the score decidesBelow the configured threshold a theme gets a privacy read before the lead sees it.

Value

Where AI adds value

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

Where the value landsValue 01 – 04
Every transcriptFrom 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.

04Build 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 repositoriesDovetail · Condens · EnjoyHQ
Coded studies, quotes and tags
Session recordingZoom · Teams · Lookback
Session recordings and transcripts
Participant panelsRespondent · User Interviews
Screeners, consents and incentive records

Agent

User-research analysis

Reads the consent
Codes the transcript
Holds for the lead

Product and issue systemsJira · Productboard · Notion
Findings, themes and the issues raised
Observability & evaluationOpenTelemetry · 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 defenceInward → 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 – L2Test whether a theme may stand
L3Hands the release to a named research lead
L4 – L5Keep the transcript and the consent behind it
L6Withholds 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
Depth of coverage ▼
E1Final-output evaluationDid the theme record the consent scope it was coded inside?
E2Step-level evaluationDid the agent read the right study, the right purpose and the live redaction rules?
E3Tool evaluationDid it read and write the correct study and the correct theme?
E4Confidence calibrationDo low-confidence themes actually attract more researcher corrections?
E5Slice evaluationHow does performance change across specific study types?
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 lifecycleDirection of processing →
01 · Retrieval1 mode
QF-03

Superseded consent read

The consent read is not the one the participant signed.

Stage gathersThe consents, the sessions, the purposes and the codes
02 · Reasoning2 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 proposesThe consent scope, the redactions and the codes
03 · Tool / write2 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 writesOnly where write access and approval policy allow it
04 · Output1 mode
QF-01

Released, consent unrecorded

The record shows release but not the consent under it.

Stage returnsThe finding a team acts on and a board reads
05 · Change / Version1 mode
QF-07

Silent purpose drift

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

Stage tracksModel, 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

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 aggregateIllustrative example
SliceFailure rateLift Lift 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 stagesSwitchback — the path turns at Improve and returns at Learn
01Detect

Correction rate rises on re-used legacy corpora.

02Diagnose

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

03Improve

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

04Verify

A single red consent case stops the whole release.

05Learn

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

Learn → DetectThe 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
01Consent-scope mapping and automation-boundary work.
02Repository, recorder and panel sources.
03Purpose-to-transcript and consent-coverage mapping.
04Transcript ingestion.
05Consent, purpose and study binding.
06Redaction scoring and review routing.
07Researcher release workflow.
08Repository and tracker integration.
09Consent and purpose cases.
10Guardrails and purge controls.
11Transcript-trail instrumentation.
12Deployment, documentation and Agent Care handover.
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 tier PilotOne study, one round ProductionProduction research workflow AdvancedMultiple 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 price From $5,000 From $8,000 Custom quote
Final build priceConfirmed after discovery based on integrations, workflow complexity, transcript volume, approval controls and deployment requirements.
Separate from buildBuild 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.

You bringWe build with it
01Your live studies and the purpose each was collected for Consent capture and purpose versioningWeek 1
02Representative transcripts, recordings and notes Source binding, redaction rules and the coding baselineWeek 2
03Your retention schedule and the leads it names Consent mapping, purpose binding and the automation boundaryWeek 1
04Access to relevant APIs, feeds or exports Repository, recorder and panel assessment, then integration setupWeek 2
05Transcripts you would not want subpoenaed Purpose cases and failure-mode testingWeek 4
06What no study may re-use Redaction scoring, review routing, guardrails and release controlsWeek 3
07A named research lead who releases the finding Release to the named research lead, then pilot and production validationWeeks 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 W1W2W3W4W5W6
Discovery W1
Build W2 – W3
Evaluate W4 – W5
Pilot & Launch W5 – 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 bandA band covers the weeks its own work is named in, and week five carries two by design.
At the end of W6When the consent record validates, Agent Care picks the agent up.
DurationSix-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.

Nestack Agents · User-research analysisAGT-PRD-03 · Agent Care available after launch