Product discovery

Decide with evidence,
not the loudest anecdote.

Archeus clusters your interviews, tickets, and reviews into root-pain themes with quotes and ARR attached — then drafts the PRD, the ADR, and the acceptance criteria that survive engineering.

Enterprise SandboxedZero Model TrainingAudit Logged

Q3 Feedback — 212 signals

Interviews · Tickets · Reviews

Root-pain clusters

Onboarding dead-ends

47 mentions · 12 accounts$1.2M ARR

CSV export limits

33 mentions · 12 accounts$640k ARR

Mobile parity

21 mentions · 12 accounts$210k ARR
PRD — draft v1 · Export v2Traceable
ProblemCited — INT-142 · 33 quotes
ScopeAsync export · queue + notify
Success metricP50 export time < 8s

Acceptance criteria ready

14 scenarios · 9 edge cases

Clusters keep the customer’s own words — decisions trace to evidence.

Real workspace preview — clusters, the decision record, and the handoff stay traceable.

212
signals clustered into 6 evidence-backed themes
100%
of themes carry verbatim source quotes
14
Gherkin scenarios per PRD, mapped 1:1 to scope
0
roadmap claims without a citation

Built for teams that review before they ship

Marketing teams
Sales orgs
Product squads
Finance teams
Analysts
Legal ops

In action

See the workspace, not a mock

A real working view — reviewable before anything ships.

212 raw signals become six themes — each one keeps the customer's words and the ARR it touches.

Step 01 — Customer signal clustering

Feedback clusters with evidence attached

212

raw feedback signals ingested this quarter

6+2

root-pain clusters — themes, not keywords

0

cluster themes without source quotes

Clusters — click to inspect

Q3 · 212 signals

Evidence — 47 quotes

Sources attached

“We got stuck at step 3 and nobody could tell us why.” — INT-142, Ops lead

“The checklist disappeared mid-flow.” — Ticket #8412

“Two teams abandoned setup in week one.” — INT-151, Admin

The theme keeps the customer’s words — the PM reads evidence, not a paraphrase.

Prompt

Cluster this quarter's feedback — interviews, tickets, reviews — into root-pain themes with quote counts, affected accounts, and ARR at stake.

How it works

From signal to sprint, on the record

A practical, reviewable workflow—not a black box.

STEP 01INGEST

Ingest the signal

Interview notes, tickets, and reviews are gathered around one question — with account and ARR metadata on every line.

Prompt

“Collect Q3 feedback from interviews, tickets, and reviews around one question: where do users get stuck?”

Pipeline

  1. Pull sources

    Interviews · tickets · reviews

  2. Normalize snippets

    212 signals kept

  3. Attach metadata

    Account + ARR on each

Verifiable output

SourceSignalsAccounts
Interview notes
84
16
Support tickets
97
23
Public reviews
31
—
STEP 02CLUSTER

Cluster with evidence

Root-pain themes emerge with the customer's words intact — ranked by mentions, affected accounts, and the revenue they touch.

Prompt

“Cluster the 212 signals into root-pain themes — keep the customer's words.”

Pipeline

  1. Group by root pain

    6 themes, not keywords

  2. Rank by ARR at stake

    $2.05M total

  3. Bind quote evidence

    Every theme cites sources

Verifiable output

ThemeMentionsARR
Onboarding dead-ends
47 · 12 accts
$1.2M
CSV export limits
33 · 9 accts
$640k
Mobile parity
21 · 7 accts
$210k
STEP 03DECIDE

Decide on the record

Trade-offs are scored against your goals and the decision is funded — the ADR keeps who chose, why, and what would revisit it.

Prompt

“Frame the trade-off: which cluster do we fund this quarter, and why?”

Pipeline

  1. Score vs activation goal

    Export cluster wins

  2. Record decision + risks

    ADR-014 drafted

  3. Name what would revisit it

    Volume > 5M/day

Verifiable output

Evidence separates from assumptions

Clear

Trade-offs recorded in ADR-014

Clear

Mobile parity deferred — revisit Q1

Review
STEP 04SPEC

Spec with citations

The PRD opens with a cited problem, keeps scope honest, and ends with metrics engineering can instrument before the build.

Prompt

“Draft the PRD with the problem cited, scope bounded, and metrics defined.”

Pipeline

  1. Cite the problem

    INT-142 · 33 quotes

  2. Bound the scope

    2 in · 1 explicitly out

  3. Define metrics

    P50 < 8s · tickets → 0

Verifiable output

PRD — Export v2

Accounts can’t complete the monthly close in-product — the 50k cap forces chunking.

Cited14 scenarios
STEP 05ALIGN

Align the team

Stakeholder summaries and Gherkin scenarios hand off clean — the PM's claims survive contact with the backlog.

Prompt

“Turn the work into a stakeholder summary the team can act on Monday.”

Pipeline

  1. Summarize evidence → decision

    One page, sources linked

  2. Attach acceptance criteria

    Gherkin, sprint-ready

  3. Distribute for review

    PM owns the send

Verifiable output

Aligned212 signals → 1 funded decision → 14 scenarios — all traceable

Capabilities

Discovery that survives scrutiny

Evidence, not anecdotes

Clusters keep the customer's own words with account and ARR attached — roadmap debates start from shared evidence.

Onboarding dead-ends — 47 mentions$1.2M ARR
CSV export limits — 33 mentions$640k ARR
Mobile parity — 21 mentions$210k ARR

every theme links to its source quotes — id CL-2026-Q3

Traceable decisions

Each funded decision carries its trade-offs, its owner, and the condition that would revisit it — in a durable ADR.

ADR-014 — async export queue

Clear

Revisit condition: volume > 5M/day

Review
Architecture reviewProposed

Spec-to-engineering handoff

Acceptance criteria arrive as Gherkin scenarios mapped 1:1 to scope — the PRD's claims survive contact with the backlog.

PRDUser storiesGherkinEdge casesMetrics

Engineering reviews criteria, not paragraphs — and the PM’s summary links back to every source.

Handoff — export_queue.feature

Human check

Given

2M-row account requesting CSV

When

export is queued within 1s

Then

file + notify inside 5 min

01

Ingest the signal

Interview notes, tickets, and reviews are gathered around one question — with account and ARR metadata attached.

Nothing is summarized before it's attributed. Every snippet keeps its owner.

  • 212 signals from 3 source systems
  • Account + ARR on every line
  • One question frames the collection
CUSTOMER SIGNAL
02

Cluster with evidence

Root-pain themes emerge with the customer's words intact — ranked by the revenue they touch.

Themes without quotes are deleted, not defended.

  • 6 clusters from 212 signals
  • Quotes bound to every theme
  • $2.05M ARR mapped to pain
EVIDENCE MAP
03

Decide on the record

Trade-offs are scored and a decision is funded — the ADR keeps who chose, why, and what would revisit it.

Roadmap debates end when the evidence and the record agree.

  • Latency vs cost vs complexity laid out
  • Decision + consequences recorded
  • Revisit condition named up front
DECISION RECORD
04

Ship with criteria

The PRD and its Gherkin scenarios hand off clean — metrics instrumented before build, not after apology.

The stakeholder summary links every claim back to its source.

  • 14 scenarios mapped 1:1 to scope
  • 9 edge cases a reviewer would miss
  • Sprint-ready, PM-owned send
TRACEABLE HANDOFF
InterviewsTicketsReviewsAccountsMetadataSignalClustersQuotesARRSeverityTrendsThemesADRTrade-offsOwnersRisksRevisitsDecisionsPRDStoriesGherkinMetricsAlignmentHandoff
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Where it helps

Built around real team moments

Start with the workflow you already repeat — the pipeline maps to it, not the other way around.

Discovery synthesis

A quarter of interviews becomes an evidence map — themes, quotes, and ARR, ready for prioritization.

Opportunity assessment

Assumptions, constraints, and revisit conditions become visible before the bet is sized.

PRD acceleration

From top cluster to cited PRD and sprint-ready criteria — in an afternoon, not a fortnight.

Launch alignment

Product, marketing, and CS read the same evidence-linked summary — no translation losses.

Why teams switch

Less tool-switching. More useful work.

Without a connected workflowWith Archeus

Roadmap debates restart from memory and the loudest anecdote.

Themes arrive with quotes, accounts, and ARR — the debate starts from evidence.

The PRD's problem statement is a paraphrase nobody can verify.

Every problem statement cites its interview or ticket — 33 quotes behind this one.

Architecture decisions live in a Slack thread nobody can find.

ADRs record the trade-offs, the owner, and the condition that would revisit them.

Acceptance criteria get invented during the sprint.

Gherkin scenarios map 1:1 to scope — engineering reviews criteria, not paragraphs.

Enterprise Standards

Built for auditability, privacy, and full human governance.

Zero Retention for Training

Zero Model Training

Customer prompts, uploaded business records, connected databases, and generated outputs are strictly ephemeral and never used to train base or commercial foundation models.

Sandboxed Execution

Automations, code evaluation, and browser executions occur in isolated, scoped environments with strict egress policies and encrypted secrets management.

Human Approval Gate

Consequential actions—such as customer communications, database writes, or live deployments—require deliberate human confirmation with comprehensive audit logs.

Questions

What teams ask first

Make product decisions easier to explain and revisit.

Start with one real workflow, keep people in control, and build from what works.