saascode
analytics, bi & data·run 234 · Jun 2026

Recosign

A recommendation accountability workspace that turns cited analysis into client-approved action artifacts, records acknowledgment and implementation evidence, and evaluates bounded outcome windows with assumptions, confounders and human interpretation.

Genesis score5.94/10
Make Recosign real.0/500
500 more votes and Recosign is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
4Confirmed adjacent attribution products
0Verified connected interfaces in source
0Reviewed recommendation-object equivalents found
The case

The research confirms adjacent attribution and prescriptive-analysis products but found no reviewed agency product treating a signed recommendation as a tracked object. That is a differentiation hypothesis, not proof of an empty market.

Recosign should separate source metric, analysis, recommendation draft, strategist approval, client delivery, acknowledgment, client decision, implementation command, implementation readback, outcome observation, attribution method, analyst interpretation and renewal claim. A signature proves artifact integrity and approval scope, not recommendation quality or causal effect.

The product must freeze metric definitions, baselines, windows, assumptions and known confounders. It should report implemented, unimplemented and indeterminate cases rather than manufacture a hit rate. Client non-action is not failure by default, and staff recommendations cannot become employee performance scores.

Who pays — and why

Agency strategy and client-service leaders seeking a defensible record of recommendations, client decisions and measured follow-through.

What it unlocks
A metric contract with business definition, formula, source, owner, population, exclusions, timezone, currency, freshness, revision and data-quality limits
A recommendation artifact with question, cited evidence, analysis snapshot, proposed actions, assumptions, dependencies, risks, owner, deadline, confidence language, approval, signature scope and supersession
An implementation ledger separating client acknowledgment, decision, responsible party, authorized command, destination acknowledgment, authoritative readback, deviation, correction and completion evidence
An outcome review with preregistered baseline and window, comparison method, confounders, missing data, observed movement, uncertainty, analyst interpretation, client response and permitted portfolio aggregation
How Genesis scored it
5.94across seven criteria
tension 6temporal 7blindspot 5buyer 5leverage 7convergence 5why-not 6
7
Temporal window

Current prescriptive analytics and agency accountability pressure support relevance.

7
Asymmetric leverage

Reusable evidence and outcome templates can scale.

5
Convergence

Multiple related ideas and live adjacent products support the category.

Why it scored well

Several adjacent analytics products and a clear recommendation-to-outcome object model make the direction concrete.

What's holding it back

Buyer economics, interface access and moat remain underverified; causal attribution, client control, metric drift and selective reporting are difficult.

Signals detected3 sources crossed
SignalGenesis research

SignalGenesis research

SignalGenesis research

Direction briefrecosign.md
recosign.md
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Discussion

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