Analysis

KPI Review

Reads a metrics export and separates signal from noise.

About

Checks trends against sample size, names the movements that are actually meaningful and lists the questions the data cannot answer.

How to use

Provide the export and the period. Ask explicitly for what the data does not show.

Step by step

  1. 01

    Fix the period

    Compare like-for-like periods, not convenient ones.

  2. 02

    Check sample size

    Ignore movements that the sample cannot support.

  3. 03

    List blind spots

    Document what the export cannot answer.

What you get

Signal summary
Sample size check
Open questions
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Client voices

What teams say after the week

Short feedback from hackathons with engineering, marketing, operations and leadership teams.

Our engineers built a code-review assistant in two days that the whole team still uses. No training ever did that.
Engineering leadNavVis
The whole agency was building. Marketers with zero coding background shipped content pipelines that saved real hours.
Managing directorYOYABA
Procurement workflows that used to sit on a roadmap were prototyped and demoed inside the same week.
Head of operationsOnventis
Our leadership cohort left with five working agents and a completely different sense of what AI can do for us.
Programme ownerAdobe cohort

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