THE DELIVERY METRICS PLAYBOOK

Measure the system,
never the person.

A free playbook for founders. Knowing whether the machine is healthy, without turning the numbers into a weapon.

// 32 PAGES · FIVE PARTS · THREE CHECKLISTS · FREE

What is inside
01 — THE HONEST CASE

Seven things to know about delivery metrics.

Each is a mechanism you can plan around, and the guide is plain about the limit.

01

They make the drag visible

Most of the time a team spends is not spent building; it is spent waiting. Waiting for a review, for a decision, for an environment, for another team, for clarification.

02

They separate a capacity problem from a flow problem, which have opposite fixes

"We are not shipping fast enough" has two very different causes. A capacity problem means there is genuinely more work than people; the fix is fewer commitments or more people.

03

They give engineering a defensible voice in prioritisation

In most companies engineering's arguments for platform work, refactoring or reducing debt are made in engineering language and lose to arguments made in business language.

04

They surface systemic problems before people burn out

A team can absorb a bad system for a long time through individual effort, and the effort conceals the problem right up to the moment someone leaves.

05

They tell you whether a change actually worked

Teams change process constantly: new ceremonies, new branching strategies, new review rules, new tooling. Almost none of it is evaluated, so practices accumulate on the basis of who advocated for them and nothing is ever removed.

06

They protect quality from being traded away silently

Speed and quality trade against each other continuously and mostly invisibly, one small decision at a time. Watching a quality signal alongside a speed signal makes the trade explicit: if throughput rose and rework rose with it, you did not get faster, you moved work into the future.

07

And now the honest limit

The moment a metric is used to assess an individual, it stops measuring reality and starts measuring how people respond to being assessed.

02 — WHAT'S INSIDE

Five parts, and a last page.

Parts one to five are the thinking and the doing, worth your time even if you never touch a piece of software. The last pages show how to run it in one place.

01

What Delivery Metrics Are Actually For

They make the drag visible; they separate a capacity problem from a flow problem, which have opposite fixes; they give engineering a defensible voice in prioritisation; they surface systemic problems before people burn out; they tell you whether a change actually worked; they protect quality from being traded away silently.
02

Decide Before You Measure

State the rule out loud, and then hold it at the first inconvenient moment; decide what question you are actually asking; prefer flow measures to output counts; use baselines and trends, not targets; decide who sees what, and default to open within the team; write down what you will not measure, and publish it.
03

Instrument It Simply

Start with cycle time, and define its endpoints precisely; watch work in progress, and treat it as the first lever; add a quality signal, however rough; measure predictability as a distribution, not an average; do not build a dashboard nobody reads; sanity-check the data against lived experience, and believe the team.
04

Read It and Act

Read the tail, because the tail is the story; diagnose the three usual causes before reaching for anything exotic; use the evidence to make the quality trade explicit; watch quality decay, which is slow and then sudden; treat sustainability as a real signal, not a wellbeing gesture; change one thing, then check.
05

The checklists and the mistakes

Three checklists (Before You Measure Anything; Instrumentation; The Monthly Read) and nine mistakes.
06

Do it all in one place

How FIKR OS carries it.
03 — WHAT GOES WRONG

Nine mistakes, all of them avoidable.

None is about talent. They are failures of method, which is good news, because method is something you can set up in advance.

01

Measuring individuals

The fatal one. It converts every number into a record of how people respond to being measured, and it happens after a single appearance in a review.

02

Setting targets

A target is an instruction to make the number look good, and there is always a way. Baselines and trends produce improvement; targets produce compliance.

03

Measuring speed without quality

Throughput rises, rework rises with it, and it looks like success for two quarters. You did not get faster; you moved work into the future.

04

Reading averages

Everything interesting in delivery lives in the tail. An average conceals precisely the items that broke your commitments.

05

Counting output

Tickets and points describe how work was sliced, and slicing adjusts itself — usually without anyone intending it — the moment it is counted.

06

Assuming a capacity problem

It is the default hypothesis in the absence of data, and it leads to hiring into a flow problem, which makes the flow problem worse.

07

Building a dashboard nobody reads

Impressive at launch, ignored within a fortnight, quietly wrong thereafter. Fewer numbers, looked at in a real meeting, by people who will act.

08

Doubting the team when data contradicts them

Data that does not match lived experience is a bug report about your instrumentation, and treating it otherwise costs you their cooperation permanently.

09

Changing several things at once

You learn nothing, you keep everything, and within a year the process is a pile of practices nobody can justify or remove.

04 — THE GUIDE

Thirty-two pages.
Yours in one click.

Five parts, three checklists and the nine mistakes. One email with the link, no drip sequence, and we do not sell the list.

FREE · 32 PAGESFORMAT · PDFNO DRIP SEQUENCE
The Delivery Metrics Playbook

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