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Adoption · Service

Throughput and quality, instrumented: AI-first that you can prove.

Track AI usage, throughput delta, defect rate, time-to-merge. The dashboard you wish your VP of Engineering had.

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Service
Adoption
Visible
Throughput delta (PRs, lead time)
Held
Quality (defect, escape rate)
Per-team
Adoption visibility
Quarterly
Review-ready dashboards
Overview

Why this engagement exists.

"Are we getting value from AI?" is a question that should have a data-backed answer. We instrument the metrics that matter (DORA fundamentals plus AI-specific signals) and give you a dashboard that proves the throughput delta without trading off quality. It is a setup-and-handoff engagement: we build and wire the dashboard, then hand it to your team to own, with an optional recurring quarterly review.

What you get

Deliverables, not promises.

Every engagement ships these artefacts. Nothing here is fluff. Each item is something your team will hold in their hands at the end.

Metrics framework

DORA fundamentals + AI-specific (active users, suggestions accepted, time-to-merge).

Tool usage instrumentation

Wiring data sources from Cursor / Copilot / Claude Code + Git + CI.

Quality baseline

Current-state defect rate, escape rate, rollback frequency: the bar to maintain.

Dashboard build

Grafana / Looker / Metabase, wherever your team already looks.

Quarterly review template

A repeatable QBR template tying the metrics to outcomes and follow-up actions.

Recommendations

Specific per-team recommendations from the first quarter of data.

How we work

The process, step by step.

No mystery, no consultant theatre. This is how the work actually flows from kickoff to handover.

  1. Step 1

    Define metrics that matter

    DORA + adoption + quality. We start from outcomes, not from "what is easy to measure".

  2. Step 2

    Instrument data sources

    Tool usage + Git + CI + ticket system. Pipelines into your warehouse or our hosted setup.

  3. Step 3

    Baseline current state

    Two weeks of baselining so the delta we report later is real, not noise.

  4. Step 4

    Dashboard build + access

    Dashboards in the tool your team already uses, with sensible access controls.

  5. Step 5

    Quarterly review cadence

    A QBR template + the first review run with you, so the rhythm is established.

What to expect
3-4 wk
To a live dashboard + first baseline

Teams that measure adoption see better outcomes. The act of measuring creates the feedback loop. The most common surprise: throughput goes up before adoption does, because senior engineers adopt fastest.

FAQ

The questions that actually come up.

DORA fundamentals (lead time, deployment frequency, MTTR, change failure rate) + adoption (active users, suggestions accepted, prompts run) + quality (defect rate, escape rate).

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Ready to scope Adoption Measurement?

A 30-minute call. We map your situation against the engagement, give you a real estimate, and tell you honestly whether we are the right team for this.

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