Flow Management and Delivery Evidence Programme

Kanban, Flow Management and Delivery Metrics

Visualise work, limit work in progress, manage flow and use lead time, throughput and other evidence to improve delivery.

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Course overview

Design a Kanban system that makes work visible and improves the flow of value.

Kanban, Flow Management and Delivery Metrics develops practical capability to define and visualise a workflow, control started work, manage items actively and improve flow through evidence.

Participants learn to distinguish a Kanban system from a task board, establish explicit workflow policies, manage classes of service and use measures such as work-item age, elapsed time, throughput and work in progress responsibly.

A flow simulation allows teams to experience queues, overload, variability and blocked work before redesigning the system and testing whether policy and work-in-progress changes improve outcomes.

Learning outcomes

What participants will be able to do.

  • Explain Kanban as a strategy for optimising the flow of value.
  • Define work items, workflow states, entry and exit criteria and explicit policies.
  • Design a visual workflow that reflects real work rather than an idealised process.
  • Establish and adjust work-in-progress controls to reduce overload and delay.
  • Manage blocked, ageing, urgent and dependent work transparently.
  • Calculate and interpret work in progress, throughput, elapsed time and work-item age.
  • Use flow distributions and historical evidence to support realistic service expectations.
  • Identify bottlenecks, queues, starvation, rework and policy failure.
  • Design evidence-based flow experiments without gaming metrics.
  • Prepare a practical Kanban implementation or improvement plan.

Who should attend

Designed for professionals who need practical, context-aware capability.

  • Delivery managers, team leaders and service owners.
  • Product, project, operations and support teams.
  • Scrum Masters and Agile practitioners adding flow capability.
  • Process-improvement and business-analysis professionals.
  • Managers seeking more reliable visibility and forecasting.

Course structure

5 integrated modules from foundation to workplace application.

The programme connects principles, practical tools, evidence, decisions and transfer through one coherent learning journey.

1

Kanban purpose and workflow definition

  • Kanban as a flow strategy.
  • Value, demand, work items and customers.
  • Defining workflow states and boundaries.
  • Visualisation, policies and decision transparency.
  • Task-board and Kanban anti-patterns.
2

Controlling started work

  • Why excess work in progress creates delay.
  • WIP controls, pull and replenishment.
  • Blocked work, dependencies and ageing items.
  • Classes of service and urgent work.
  • Daily flow review and active item management.
3

Flow measures and delivery evidence

  • Work in progress, throughput and elapsed time.
  • Work-item age and ageing views.
  • Scatterplots, histograms and cumulative flow.
  • Service-level expectations and probabilistic thinking.
  • Metric interpretation and common misuse.
4

Forecasting and stakeholder communication

  • Historical evidence and range forecasts.
  • Demand, capacity and service conversations.
  • Communicating uncertainty without false precision.
  • Managing expectations and escalation.
  • Using evidence for replenishment and commitment decisions.
5

Improving the Kanban system

  • Bottlenecks, queues and constraint analysis.
  • Policy review and feedback loops.
  • Designing safe-to-try flow experiments.
  • Scaling visibility across connected services.
  • Implementation and improvement roadmap.

Learning experience

Learn through application, challenge, feedback and reflection.

Experience

Flow simulation

Observe the effects of queues, batching, variability, urgent work and WIP changes on delivery.

Define

Workflow-design workshop

Create a definition of workflow with states, criteria, policies, WIP controls and review points.

Measure

Metrics laboratory

Calculate and interpret flow measures using a practical dataset.

Forecast

Evidence-based forecasting

Use historical observations to discuss likely completion ranges and service expectations.

Improve

Policy experiment

Test a workflow or WIP policy change and assess its effect on flow and customer outcomes.

Transfer

Kanban action roadmap

Plan the introduction or improvement of a Kanban system in the participant’s context.

Course completion

Demonstrate participation, application and professional judgement.

  • Participate in the flow simulation and workflow-design activities.
  • Complete the core flow-measure calculations and interpretation exercises.
  • Contribute to an evidence-based improvement experiment.
  • Prepare a Kanban implementation or improvement roadmap.

Participant outputs

Typical course outputs include:

  • Definition of workflow.
  • Kanban board and explicit-policy design.
  • Work-in-progress control proposal.
  • Flow-metrics dashboard outline.
  • Service-expectation and forecasting approach.
  • Kanban improvement roadmap.

Delivery options

Choose the format that fits your people and operating environment.

Instructor-led

Live Classroom

Face-to-face delivery with facilitated discussion, simulations, workshops and immediate feedback.

Instructor-led

Live Virtual Classroom

Interactive online delivery using collaborative workspaces, breakout activities and guided application.

Flexible

Blended Learning

A structured combination of preparation, live sessions, applied assignments, coaching and follow-up.

Organisation-specific

Corporate and In-Company

Tailored delivery using organisational terminology, cases, data and workplace priorities where appropriate.

Frequently asked questions

Course information and participation.

Is Kanban simply a visual task board?

No. Visualisation is important, but an effective Kanban system also defines workflow, controls started work, manages items actively and improves flow.

Can Kanban be used with Scrum?

Yes. Flow practices and measures can complement Scrum when they preserve Scrum’s core design and help the team understand and improve delivery.

Do participants need statistical expertise?

No. The course develops practical interpretation of flow evidence and avoids unnecessary mathematical complexity.

Can corporate cohorts use their own workflow data?

Yes. Anonymised work-item and delivery data can be used where it is reliable and suitable for the exercises.

Does completion provide a Kanban certification?

The course may provide an INDENTRA completion record where applicable. It does not confer a third-party Kanban credential unless a specific offering explicitly states otherwise.

Take the next step

Make work visible, control overload and improve delivery through flow evidence.

Discuss a public course or a tailored workflow programme using your teams, services, demand patterns and delivery data.

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INDENTRA may adapt sequencing, exercises and examples to suit the delivery format and participant profile while preserving the stated learning outcomes. Any external examination, accreditation or third-party certification arrangement applies only when explicitly confirmed for the specific offering.