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The problem

PMs spend 30–40% of their time wrangling research

You have interview transcripts, analytics exports, survey results, and Slack threads scattered across 5 tools. By the time you synthesize them into a recommendation, the context has shifted.

Scattered sources

Evidence lives in Google Docs, Notion, CSV exports, and Slack — never in one place.

Slow synthesis

It takes days to manually cross-reference claims and find contradictions.

No audit trail

Stakeholders ask 'Where did that number come from?' and you dig through tabs.

Live demo

A real Brief, not a screenshot

Click any citation to see the source evidence. This is the exact same component your team gets after uploading documents.

FitHigh
ConfidenceHigh

Reduce SME churn by launching a proactive health-check workflow

2026-02-19·7/7 documents utilisés

Bet solide — prête à tester.

If we introduce a proactive health-check workflow triggered 30 days before renewal, then we can reduce SME churn by 15–20% within two quarters, because 73% of churned SMEs showed declining usage 60+ days before cancellation, but no outreach was attempted.

  • SME churn spiked to 8.2% last quarter — highest in 18 months — while enterprise churn stayed flat at 1.4%.
  • 3 CSMs independently reported that most save attempts happen too late, after the customer has already decided to leave.

Contradiction détectée

CSM team reports that personal outreach is effective, but product data shows email outreach has only a 9% response rate — in-app nudges perform 3.8× better.

Explications possibles :

  • CSMs may be recalling the subset of successful saves (survivorship bias) rather than the overall conversion rate.
  • The definition of 'outreach' differs: CSMs count phone calls, while the data tracks emails.

Prochaine vérification : Segment outreach data by channel (email vs. call vs. in-app) and compare save rates for each.

?What is the cost per health-check touchpoint at scale (10× the pilot)?
?Do churned SMEs who cited 'budget' as the reason respond differently to health-checks?
?How does the health-check workflow interact with the existing automated onboarding sequence?
Assez de preuves variées
Hypothèse testable
Métrique définie
Périmètre réaliste
Aligné avec le focus

Hypothesis

Proactive health-checks sent 30 days before renewal will reduce SME churn by at least 15%.

Metric

SME churn rate (monthly cohort)

Success threshold

≥15% reduction vs. control group after 90 days

Experiment design

Randomly assign 200 SME accounts approaching renewal into treatment (health-check workflow) and control (business as usual). Measure churn rate at 90 days. Secondary metric: NPS delta.

Confidence

High

7 pieces of evidence from 4 source types across 7 documents. A controlled pilot already demonstrated 22% churn reduction. One contradiction identified but does not undermine the core hypothesis.

Before & after

Generic AI vs. Risment

Generic AI chatbot

“Based on general knowledge, you should probably reduce churn by improving onboarding.”

No sources cited
No contradictions flagged
No unknowns identified
No validation plan
Risment

“73% of churned SMEs showed declining usage 60+ days before cancellation.” [analytics-dashboard#01]

7 sourced claims from 4 source types
1 contradiction detected
3 unknowns surfaced
Testable hypothesis + success metric

How it works

From docs to decisions in 3 steps

1

Define your focus

Tell Risment what you're investigating — 'Reduce SME churn', 'Launch self-serve onboarding', etc.

2

Upload your research

Drop in PDFs, transcripts, analytics exports, survey results — any mix of source types.

3

Get Briefs

Risment reads every document, cross-references claims, flags contradictions, and produces auditable decision packages.

Comparison

Why not just use ChatGPT?

FeatureGeneric AIRisment
Source citationsNoneEvery claim linked to source
Contradiction detectionNever flags conflictsAutomatic with both sides
Evidence qualityNo assessmentTrust banner + threshold
UnknownsFills gaps with guessesExplicitly listed
Test planGeneric suggestionsHypothesis + metric + threshold
Your documentsPaste text manuallyUpload PDFs, docs, CSVs
Structured outputFree-form textBrief (auditable format)

Built for trust

Every claim is traceable

Risment doesn't just summarize — it builds an evidence chain you can audit, challenge, and share with stakeholders.

Sourced claims

Every claim links to the exact excerpt in the original document. Click a citation, see the source.

Contradiction detection

When two sources disagree, Risment flags it — with both sides and a suggested next step.

Blind spots surfaced

Instead of pretending it knows everything, Risment explicitly lists what's missing.

Evidence quality banner

A trust banner warns you when evidence is thin — so you never over-commit on weak data.

Your first analysis is free

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