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OverviewProcessMeasurementROI calculatorPlaybookMaturityScorecard

_>MEASUREMENT

Measure accepted production outcomes

North-star question: does the same team deliver more accepted production value per dollar, without increasing defects, risk, or senior supervision?

_> SIX LAYERS

01 / 06

>> Outcomes over activity

Six layers keep claims honest. Adoption without flow is theater. Throughput without quality is debt. Economics without all of the above is guessing.

DEFINITIONS

Keep claims auditable

Count accepted change carefully. Baseline before uplift. Keep quality beside throughput.

01

What counts as an accepted change

Work counts only when it has a requirement or ticket, implementation, required verification, approval, production release, and no qualifying immediate revert or defect in the defined window.

02

Baseline before claims

Pull 8–12 historical weeks from ticketing, Git, CI/CD, and incident systems. Segment by seniority, task type, complexity, and repository. Do not rely primarily on developer self-report. Each scorecard metric has a baseline recipe in the dictionary below.

03

Core commercial metric

Cost per Verified Delivery Unit (VDU), or cost per accepted complexity point until VDU maturity. Include loaded engineering cost, AI/tool cost, managed-adoption cost, and optionally attributable CI compute.

04

Complexity normalization

Classify before implementation. Relative weights, not hours. Calibrate examples with the client and keep raw outcomes visible.

S
1
M
2
L
4
XL
8

METRIC DICTIONARY

How to measure each scorecard field

Same definitions power Measurement, Scorecard, Playbook, and Process Day 1. Expand a metric for systems of record, baseline and after recipes, sample rules, gaming guards, and CTO/CFO objection handling.

Never rank individuals by tokens, prompts, or LOC.

Report quality and cost beside every throughput claim.

Lock complexity weights before the pilot cohort starts. Recalibration mid-cohort voids the comparison.

Segment by repo, seniority band, and work type when mix shifts.

Prefer system timestamps over developer self-report.

Publish sample size and exclusion rules with every delta.

  • DEFINITION

    Accepted complexity points delivered per engineer in a fixed calendar period. A point counts only when the change meets the accepted-change definition: ticket, implementation, required verification, approval, production release, and no qualifying revert or defect in the defined window.

    SYSTEMS OF RECORD

    • Ticketing (Jira, Linear, Azure Boards)
    • /Git merge and release tags
    • /CI/CD deploy success
    • /Incident / hotfix log for the acceptance window
    01

    BASELINE · BEFORE

    Pull 8–12 historical weeks for the pilot team and repos. Tag each accepted change with a pre-agreed S/M/L/XL weight. Sum points, divide by active engineer-weeks in the same window. Exclude freezes and known outages with a written rule.

    02

    AFTER · PILOT

    Same definition, same weights, same team and repos. Tag pilot-cohort work explicitly. Compare like calendar lengths (e.g. 4 weeks vs 4 weeks). Publish raw accepted-change count beside the normalized rate.

    MIN SAMPLE

    At least 20 accepted changes in each compared window, or state that the pilot is directional only.

    WHEN NOT TO CLAIM

    Major roadmap mix shift (e.g. all platform work vs all features), headcount change above 20%, or complexity weights changed after baseline closed.

    GAMING GUARDS

    1. 01Complexity assigned before implementation, not after merge
    2. 02Keep raw ticket counts visible next to points
    3. 03Do not shrink tickets solely to inflate velocity

    OBJECTION HANDLING

    CTO OBJECTION

    “This is story points with a new hat. We already game them.”

    REPLY · Weights are relative and locked before work starts. We publish raw accepted changes and quality gates beside the rate. If points inflate without quality holding, the gate fails and we do not claim uplift.

    CFO OBJECTION

    “More points does not mean more business value.”

    REPLY · Correct. Throughput is capacity, not revenue. Pair it with cost per accepted point (or VDU) and quality. ROI models use quality-adjusted capacity, not points alone.

    OWNER

    Engineering owner (definition). Platform/DevEx (pipeline timestamps).

Open scorecard instrument →

PROPOSED REPORTING SHAPE

How we recommend reading the pilot

Illustrative sponsor readout. Placeholders until your baseline and pilot close. Always pair throughput with quality and cost.

+0%

QUALITY-ADJUSTED THROUGHPUT

−0%

HUMAN SUPPORT PER DELIVERED UNIT

flat

CHANGE FAILURE RATE

−0%

TOTAL COST PER VERIFIED UNIT

Not a promise. The format we use to defend or reject uplift after baseline.

Open scorecard →

CAVEATS

01

Caveats 01. Always report quality guardrails beside throughput.

02

Caveats 02. Sample size, product mix, and org changes limit attribution.

03

Caveats 03. Human support minutes may use sampling when systems cannot provide precise telemetry.

04

Caveats 04. Example scorecard numbers are not client results.

Start with a sponsor alignment session

Align on goals, constraints, risk appetite, and the pilot repository. Implementation is the controlled entry point.

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Apptension sp. z o.o.
Górecka 1
60-201 Poznań, Poland
VAT-ID: PL7831720203
REGON: 360404804
KRS: 0000534235

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