Overview
Accelerating Value Delivery covers how a team moves from knowing its problems to improving steadily. PMI's course introduces DA's three-step Value Acceleration Process and a set of Quick Starts, ready-made starting points that help a team populate an improvement backlog without inventing every idea from scratch. The backlog lists candidate improvements, each phrased as an experiment, ordered so that the changes most likely to speed the flow of value to customers are tried first.
Candidates must understand what value acceleration means in Lean terms: shortening the time from idea to customer outcome by removing waits, reducing batch size, limiting work in progress and automating repetitive steps, not by making people work harder. This module draws on the diagnosis from module 3 and the options found in module 2, and it is the engine the two team scenarios use to produce their improvement plans.
How it's tested
Questions here ask what a team should improve first and how. Expect an improvement backlog or a list of candidate changes, plus a constraint such as limited capacity for improvement work. The right answer targets the largest delay in the flow of value, is phrased as a measurable experiment, and fits within the team's capacity, rather than the most ambitious or most visible change.
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Order the improvement backlog
Several improvements are proposed and you pick the one to try first based on its effect on time to value and its cost of delay.
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Faster versus busier
Some answers increase activity, such as overtime; one reduces waiting or batch size and actually shortens lead time.
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Seed the backlog
A team does not know where to start improving, and you choose the answer that uses a ready-made starting point and its diagnosis.
A team spends three days waiting for each manual deployment approval, while coding a change takes one day. Ask where value waits longest: the approval queue dominates lead time. The best first improvement works with the approvers to make approval lighter or automated, measured by lead time. Speeding up coding, the most visible activity, would barely change what customers experience.
Module topics 3
Official module topics from the PMI outline, in outline order.
4.1 The three-step Value Acceleration ProcessDA's structured route from understanding to improving.
- What it means
- PMI describes the Value Acceleration Process as a three-step process that helps a team move from understanding its current way of working to a prioritized set of improvements that speed the delivery of value.
- What to understand
- The process is a structure for guided continuous improvement: understand where value is delayed, choose improvements, then work through them as experiments. Its purpose is shorter time to value, so each step keeps attention on customer outcomes rather than activity.
- How it shows up
- A team wants to speed delivery, and the correct answer follows a structured sequence instead of jumping to a favorite fix.
- Common confusion
- Treating value acceleration as working harder or faster rather than removing waits and delays.
4.2 Quick StartsReady-made starting points for improvement.
- What it means
- Quick Starts are prepared starting points in the course that help a team generate improvement ideas for common situations, so it can populate its backlog quickly.
- What to understand
- Quick Starts accelerate the start, not the choice: each suggestion still has to be checked against the team's context and diagnosis before it enters the backlog. They reflect DA's view that teams should build on proven ideas rather than invent from nothing.
- How it shows up
- A team stuck on where to begin uses a starting point and then tailors it to its own diagnosis.
- Common confusion
- Adopting every Quick Start suggestion as a mandatory package.
4.3 Building an improvement backlogA visible, ordered list of improvement experiments.
- What it means
- An improvement backlog is an ordered list of candidate changes to the team's WoW, each phrased as an experiment with an expected effect and a measure.
- What to understand
- Order the backlog by expected impact on time to value, cost of delay and effort; reserve some capacity each iteration or week for improvement work; keep work in progress low so experiments finish and results are clear.
- How it shows up
- Given a list of improvements and limited capacity, you choose which to start first and how to know it worked.
- Common confusion
- Keeping improvements as an unordered wish list, or starting all of them at once.
High-yield concepts
The terms, rules and formulas this domain turns into questions most often.
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Value Acceleration Process
DA's three-step process for moving a team from understanding its current WoW to a prioritized, experiment-driven set of improvements that shorten time to value.
- Remember
- It structures guided continuous improvement and keeps attention on customer outcomes.
- Tested as
- The expected approach when a team wants to deliver value sooner.
- Trap
- Skipping the understanding step and jumping to a favorite practice.
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Quick Starts
Prepared starting points that help a team generate candidate improvements for common situations and seed its improvement backlog.
- Remember
- Starting points are tailored to context before use, not adopted wholesale.
- Tested as
- Appears when a team does not know where to begin improving.
- Trap
- Treating a Quick Start as a mandatory bundle of practices.
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Improvement backlog
An ordered, visible list of proposed changes to the team's WoW, each with an expected effect and a measure.
- Remember
- Ordered by impact and cost of delay, worked as experiments with WIP kept low.
- Tested as
- Most planning questions in this module are about ordering or managing this list.
- Trap
- Letting improvement ideas live only in retrospective notes.
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Time to value
The elapsed time from recognizing a need or idea to the customer actually benefiting from the delivered solution.
- Remember
- Waiting time between steps, not working time, usually dominates it.
- Tested as
- The yardstick for deciding which improvement matters most.
- Trap
- Measuring the team's busy time instead of the customer's wait.
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Flow efficiency
Flow efficiency is active work time divided by total lead time, expressed as a percentage.
- Remember
- One day of work inside a ten-day lead time is 10% flow efficiency; the other nine days are waiting.
- Tested as
- Shows why removing waits beats working faster.
- Trap
- Speeding up the active step when waits dominate.
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Cost of delay
Cost of delay is the value lost for each unit of time an item is not delivered, used to decide what to do first.
- Remember
- High cost of delay plus low effort goes first; weighted shortest job first divides cost of delay by duration.
- Tested as
- Used to order product work and improvement work alike.
- Trap
- Ordering by size or by who asked loudest.
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Small batches
Delivering work in smaller increments shortens feedback loops, reduces risk and lowers the waiting that large batches create.
- Remember
- Smaller items flow faster and expose problems sooner.
- Tested as
- Frequently the correct improvement when lead time is long and items are large.
- Trap
- Assuming bigger releases are more efficient because they carry less overhead per item.
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Lean waste
Lean identifies waste such as waiting, hand-offs, partially done work, extra features, task switching, defects and relearning.
- Remember
- Waiting and hand-offs are usually the biggest delays in knowledge work.
- Tested as
- Questions ask which waste an improvement removes.
- Trap
- Targeting a visible waste while a larger wait goes unnoticed.
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Automation for flow
Automating repetitive steps such as builds, testing and deployment removes manual waits and reduces errors.
- Remember
- Automate the step that causes the longest wait or the most rework first.
- Tested as
- Often the right answer when manual steps dominate lead time.
- Trap
- Automating a fast step while a slow manual approval remains.
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Accelerate value realization
This DA promise commits a team to help the people it works with get value from the solution sooner.
- Remember
- Value is realized when the customer benefits, not when code is finished.
- Tested as
- The mindset link behind every improvement choice in this module.
- Trap
- Declaring value delivered at the end of development rather than after release and use.
Side by side
Concepts candidates mix up, compared on the point that decides the answer.
Faster vs. busier
| Concept | Meaning | Key difference | Common trap |
|---|---|---|---|
| Removing waits | Cutting queue time, approvals and hand-offs between steps | Shortens lead time without extra effort | Overlooked because waiting is invisible on most boards |
| Working harder | Overtime, more parallel work or skipped quality steps | Raises activity but often lengthens lead time and adds defects | Chosen because it looks like commitment |
Improvement backlog vs. retrospective action list
| Concept | Meaning | Key difference | Common trap |
|---|---|---|---|
| Improvement backlog | An ordered list of improvement experiments with expected effects and measures | Persistent, prioritized and worked within a capacity limit | Starting too many items at once |
| Retrospective action list | Actions agreed at one retrospective | Often unordered and forgotten by the next session | Assuming writing an action down means it will be done |
Cost of delay vs. effort-only ordering
| Concept | Meaning | Key difference | Common trap |
|---|---|---|---|
| Cost of delay ordering | Order by value lost per week of delay, relative to duration | Puts urgent, high-value items first | Ignoring it because value is hard to estimate |
| Effort-only ordering | Do the easiest items first | Fast wins but may leave the biggest delay untouched | Mistaking a long list of easy wins for real acceleration |
Exam traps
Each trap is an answer that looks right. Learn the clue that should change your mind.
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Speed up the visible step
- What candidates pick
- Making development faster when most lead time is spent waiting for approval.
- Why it looks right
- Development is the work everyone sees.
- Why it's wrong
- If waits dominate lead time, faster coding barely changes when customers get value.
Clue to watch for The scenario gives durations where waiting exceeds working time.
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Overtime push
- What candidates pick
- Asking the team to work extra hours to clear a backlog.
- Why it looks right
- It promises a quick result.
- Why it's wrong
- It breaks the promise to keep workloads within capacity and usually raises defects and burnout.
Clue to watch for The goal is sustainable faster delivery.
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All improvements at once
- What candidates pick
- Launching every improvement idea in the next iteration.
- Why it looks right
- Maximum change looks like maximum progress.
- Why it's wrong
- Too much improvement WIP means nothing finishes and results cannot be attributed.
Clue to watch for Limited capacity for improvement work is mentioned.
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Quick Start as a mandate
- What candidates pick
- Adopting a whole Quick Start package unchanged.
- Why it looks right
- It is ready-made and endorsed by the course.
- Why it's wrong
- Quick Starts seed ideas; context counts, so each idea is checked against the team's diagnosis.
Clue to watch for The team's context differs from the typical situation.
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Easy wins only
- What candidates pick
- Ordering the backlog purely by effort.
- Why it looks right
- Quick wins build momentum.
- Why it's wrong
- The largest delay may need a harder change; cost of delay should drive order.
Clue to watch for One item is described as the main source of delay.
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Skip the measure
- What candidates pick
- Implementing an improvement without deciding how to tell if it worked.
- Why it looks right
- The benefit seems obvious.
- Why it's wrong
- Without a measure the team cannot decide to keep or drop the change, which defeats guided continuous improvement.
Clue to watch for The question asks how the team will know the change helped.
Answer framework
Use this sequence when a question asks how a team should accelerate the delivery of value.
- Measure where value waits by comparing working time with lead time across each step of the flow, including steps outside the team.
- Use the diagnosis and a relevant Quick Start to list candidate improvements, tailoring each to the team's context.
- Phrase each candidate as an experiment with an expected effect on lead time or quality and a measure.
- Order the improvement backlog by cost of delay and impact on time to value, not by effort or popularity.
- Reserve steady capacity for improvement, start only one or two experiments at a time, and keep or drop each based on its measured result.
Practice question
Want more like this? The DASM practice test has questions for every domain.
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Study strategy
Start with the Lean ideas that make value acceleration work: lead time, flow efficiency, waiting as waste, cost of delay and batch size. Work two or three small examples where you split lead time into working and waiting time and decide what to fix first. This turns most ordering questions into arithmetic.
Next, study the Value Acceleration Process and Quick Starts in the course itself, since PMI's public page names them without detailing the steps. As you go, note how each step connects to what you learned in modules 2 and 3: diagnosis feeds the candidate list, the knowledge base supplies options, and experiments decide what stays.
Commonly underestimated areas are waits outside the team, such as approvals and environments, and the need to limit improvement work in progress. Afterwards, practise building a five-item improvement backlog for a described team, ordering it, and writing a measure for the top item. That exercise is exactly what the enhancement and maintenance scenarios ask you to do next.
FAQ
What are the three steps of the Value Acceleration Process?
PMI's public course page names the process and says it has three steps but does not list them. Learn the step names from the course material, and focus on how they move a team from understanding to prioritized experiments.
Are Quick Starts mandatory practices?
No. They are starting points that help a team generate improvement ideas quickly. Each idea should be checked against the team's own context and diagnosis.
How is an improvement backlog different from a product backlog?
A product backlog holds work that delivers value to customers; an improvement backlog holds changes to the team's own way of working. Both should be ordered and visible.
How much capacity should go to improvement?
DA does not fix a number. Reserve a steady, explicit share of capacity so improvement happens continuously rather than only when there is spare time.
Why does cost of delay matter for improvements?
Some improvements remove delays that cost the business every week they persist. Ordering by cost of delay puts those first instead of whatever is easiest.
How does this module connect to the scenarios?
Both team scenarios ask you to apply the value acceleration process and produce an improvement plan, so the backlog skills here are used directly.
How long should I study this module?
Plan for about two to three hours, including a few lead-time breakdowns and one practice improvement backlog.
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Test your Domain 4 knowledge
You have just learned how DA turns diagnosed problems into an ordered improvement backlog aimed at shorter time to value. Test whether you can pick the right first improvement under scenario constraints.