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Independent workshop

Delivery Intelligence

From delivery evidence to decisions and follow-through.

Delivery reports show activity. They do not always explain what needs attention or what should change. This workshop develops the judgement to investigate delivery evidence, choose an intervention, review its effect and communicate what the evidence supports.

For delivery and technology leaders who run reviews and lead change.

In development · Private pilot

A credible delivery review.

Work through one simulated delivery system, from checking the data to defending a recommendation. Practise deciding what needs investigation, which change is worth testing and whether the evidence supports a commitment.

Flow Observatory supplies the working examples. The judgement and records you develop remain applicable to other tools.

AI acceleration is one source of changed work, review demand and verification cost. The course also applies to delivery systems without AI.

  • A process signal prompts investigation; it does not establish causation.
  • Stability alone does not establish that a forecast is fit for a commitment.

Eight decisions · Twelve instructional hours

The two-day workshop.

Eight 90-minute modules. Breaks sit outside the instructional time. The same sequence can run as four three-hour sessions.

Day 1 · Evidence and action

01

Establish trustworthy evidence

Can this dataset answer our delivery question?

90 minutes

A workflow and evidence agreement: boundaries, populations and how blocked or reopened work is treated.

02

Read the system

What needs investigation, and what competing explanations remain?

90 minutes

A constraint hypothesis supported by current queues, item age and delivery history, with evidence that could challenge it.

03

Choose a change worth testing

Should we limit intake, address capacity, change a hand-off or escalate?

90 minutes

An intervention record with a prediction, baseline, safeguard, owner and review point.

04

Run the review

What should we hold, trial, stop or escalate?

90 minutes

A decision record and weekly review agenda, developed through a delivery, product and sponsor role-play.

Day 2 · Review and commitment

05

Review what changed

Did the system change, and what can we reasonably attribute to the intervention?

90 minutes

A review against the original prediction, accounting for unfinished work, other changes and side effects.

06

Make a responsible commitment

Is a date supported, qualified or withheld?

90 minutes

A commitment note that retains its assumptions, or a clear account of the evidence still needed.

07

Connect delivery to value and portfolio decisions

Does a local improvement justify a business claim or another investment?

90 minutes

An evidence chain connecting capacity, its use and business outcomes, with shared dependencies and costs made explicit.

08

Defend the decision

Can another leader reconstruct and challenge our recommendation?

90 minutes

A defended recommendation and an individual plan for applying the practice at work.

Facilitated lab

What does this observation support?

One item is blocked in this simulated observation. That does not, by itself, identify a system-wide constraint. The exercise is to decide what to investigate next and which evidence would change your interpretation.

I operate an isolated simulated workspace. Groups use evidence packs and worksheets to make their own decisions. Later evidence is prepared in advance; it is not a result produced by the group during the workshop.

No software installation, Jira credentials or employer data are required.

Simulated example. Current work by stage and blocked status; the item’s history is the next line of investigation.

Simulated example

Records you can work with.

The participant workbook holds a workflow agreement, diagnostic hypothesis, intervention record, review agenda, commitment note, value-evidence chain and workplace action plan. These are course-specific records for practising the decisions.

The final exercise is to defend a recommendation: explain the evidence, alternatives, decision authority, safeguards and what the next review must check.

Format and preparation.

Private team workshops, beginning with a pilot. Two days or four three-hour sessions, delivered remotely or in person. Class size, schedule and commercial terms are agreed individually.

Bring familiarity with ordinary product and delivery work. Statistical programming, forecasting experience and knowledge of Flow Observatory are not prerequisites.

This is an independent Roman Lobus workshop. It is separate from official Scrum.org courses and their assessment entitlements. No accreditation or software access is included.

The course is in development. The pilot will test the exercises and timing before a wider offer is made.

Connection to the book.

The workshop draws on questions developed in The Predictability Loop: how leaders use delivery evidence, test interventions and keep commitments within what is known. Reading or buying the book is not a prerequisite.

Work in progress. Expected publication March 2027.

About the book

Discuss a private pilot.

Mention Delivery Intelligence, the audience, learning need, approximate participant count and preferred format.