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Intempt

See real product health, not just usage counts

Raw usage numbers hide whether a product is actually sticky or just being tried once. This surfaces stickiness, feature adoption depth, and the active-vs-passive user split for a real PM-level health read.

AnalyticsData AnalystSaaSStandard1 step1 output
Dashboard

Dash board (composition canvas) produced by this recipe.

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What it does

Tracks stickiness, feature adoption depth, retention by feature, NPS, and the active vs. passive user split for the PM view.

You get

a real stickiness and feature-adoption health view

not raw usage counts

How it works

1

Build the product health board

Build Dashboard

Stickiness and feature adoption depth, retention split by which feature was used, NPS, and the split between active and passive users.

Produces:Dashboard

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Teams love it

They stopped stitching tools andhired one system.

Jim Stromberg, CEO at StockInvest
StockInvest
“Acquisition and retention finally feel like one connected motion instead of two separate problems.”

Jim Stromberg

CEO, StockInvest

Eric Gardner, COO at FieldsUSA
FieldsUSA
“We finally have one system that sees the whole customer journey.”

Eric Gardner

COO, FieldsUSA

Tadas Kertenis, Co-founder at Hoperfy
Hoperfy
“With Intempt, we built a signal-led pipeline driven by real behaviors.”

Tadas Kertenis

Co-founder, Hoperfy

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