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Reference7-minute read

How does use decide the next release?

The delivery practice · Checked 20 Oct 2026

In short

We build usage tracking into every workflow we ship. When people abandon a step, finish the work in a spreadsheet, or approve in email, the gap becomes a signal. An agent drafts what it means with the evidence, the fixes are ranked by the number they should move, and a person decides which ones the software factory builds.

Our position

We record only events that could change the next release. Agents prepare the list of fixes, and a person decides what gets built.

Chapter 1 · adoption and valueWe answer for two numbers: adoption and value

Software that people work around moves no business number. So we measure both from the first release, against a baseline taken before it.

NumberHow it's counted
AdoptionThe share of the people the workflow is for who finish their work in it each week, instead of around it.
ValueThe business number agreed at the start, such as hours per review or days to close, against the baseline.

Chapter 2 · four signalsFour signals show where the software and the work have split

The signalWhat it usually meansThe fix we try first
People abandon the same stepThe form asks for something people don't have yet.Move the field to the step where people have it.
A report is exported and finished elsewhereThe report is missing the column that matters.Add the column, and stop the export.
Approvals happen in emailThe process map and the real work have split, so every number after that step is wrong.Bring the approval into the software, where the record is.
Two teams use a feature differentlyOne team uses it daily and another never opens it.Find out whether it's a fit gap or a training gap, and fix that one.

Chapter 3 · the event planWe name the events before the workflow ships

Every workflow ships with a short event plan. An event earns a place only if its reading could change what we build next, and the plan also lists what we never record.

events/claims-intake.yaml
workflow: claims intake
baseline: 18 minutes per intake, measured before the release
record:
  - intake.step_viewed      [step]
  - intake.step_abandoned   [step, last_field]
  - intake.completed        [minutes]
  - report.exported         [report, format]
never_record: [keystrokes, screen contents, a person's speed]
reported_by: team and workflow, never by person
!Too little tracking leaves us guessing, and too much buries the signal. Each quarter we drop the events no decision used.

Chapter 4 · from signal to fixA signal becomes a fix in five steps

  1. Recorded. A signal appears, such as intakes stalling at the same step.
  2. Read. An agent drafts the likely reason, with the evidence attached.
  3. Ranked. The proposed fix is ordered by how far it should move the number.
  4. Decided. A person approves it, or doesn't, on the weekly steering call.
  5. Built. The fix ships through the same factory, signed by an engineer.
From signal to fix. A fix stays a hollow dot, only proposed, until a person decides on the steering call. From there it's a recorded square.fig 1 · signal-to-fix

Chapter 5 · the ranked listThe list ranks each fix by the number it should move

Proposed fixThe signal behind itNumber it should moveDecision
Ask for the repair estimate at step five, not step four31% of intakes stop at step fourIntakes finished in the softwareApproved
Add the reserve column to the monthly report12 of 14 analysts export it every monthAnalyst hours per monthApproved
Bring large-loss approvals into the app40% of approvals arrive by emailDays from intake to approvalDeferred to next quarter

A deferred fix stays on the list with its reason, so it comes back with its evidence.

Chapter 6 · who does whatAgents prepare the list, and a person decides

What agents doWhat agents never do
Watch usage for breaks in the patternDecide what gets built
Draft what a reading meansChange the software on their own
Gather the evidence behind itRank fixes by who complained loudest
Propose fixes with a first estimateGrade the people using the software

Questions reviewers ask

Do you track individual people?

No. We report by team and by workflow, never by person, and we never record keystrokes or screen contents.

Who decides what gets built?

A person on your side, on the weekly steering call. Agents prepare the list and the evidence, and never decide.

What if the fix is training, not software?

Then we say so. When two teams use the same feature differently, we check whether it's a fit gap or a training gap before anything is built.

How soon do the first signals arrive?

From the first release, because the event plan ships with the workflow. The baseline is taken before that release.

Where to go next