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Constraint Analysis

Used in STEP 5
A glimpse inside
Preview of the D2 worked example — structure and colouring shown, detail deliberately softened
3 tabs: Cover · blank tool · Meridian worked example. Each candidate constraint carries its evidence, its impact on flow, a root cause and an improvement hypothesis; the rank column highlights the few that make the cut.

In a sentence — work down the value chain, rank the few points that most limit flow, and trace each back to a root cause worth designing against.

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What this tool does

Most diagnostic exercises end with a list of problems, not a decision. This tool is built to resist that: only a small number of rows can be ranked as constraints โ€” usually one to three โ€” and ranking a fourth forces you to reconcile which of the existing ones actually matters less.

The instruction ‘rank only the few that matter’ isn't a nicety — it's the whole discipline. It follows Goldratt's Theory of Constraints in spirit, adapted for regulated service environments: Goldratt's manufacturing world was sequential enough that one bottleneck usually explained the whole flow, but service organisations often run activities in parallel and depend on external factors that create more than one genuine limitation at once. Improving anything outside the ranked set doesn't move the whole flow, however productive it feels. A long list that hasn't been ranked isn't a diagnosis yet — it's just been narrowed.

WHY THIS HELPS

Evidence observed comes before ranking. The layout deliberately makes you write down what you actually saw before you're allowed to rank a row as a constraint, so the conclusion follows the evidence instead of the other way round.

WHY RANK, NOT LIST

A system's throughput is limited by a small number of points at any given time — every other row, however inefficient, isn't what's capping the flow right now. Improving something outside that ranked set feels productive but doesn't move the end-to-end number, because a genuine constraint elsewhere absorbs the slack immediately. That's the actual reason the sheet insists on a short, ranked set rather than an open list: an unranked list of five problems still leaves you guessing which one to fix first, while a ranked top few tells you exactly where to spend the next unit of effort, in order. The worked example tests four real candidates — the exception rate, the legacy platform, a related pension error rate, and a regulatory deadline — and ranks the ones that clear a real bar for impact. The rest aren't dismissed as unimportant; the Impact on flow and Improvement hypothesis columns explain why each is a real issue that didn't make the ranked set, which is a different and more useful finding than simply listing them below it.

What's included

D2 · Constraint Analysis — the blank tool

Ready to complete for your own engagement. Blue-tinted cells are for you to fill in.

Worked example

The same tool completed end to end, using the fictional Meridian Wealth Management scenario — four real candidates tested, with the ones that clear the bar ranked in order and the rest explained via the Impact on flow and Improvement hypothesis columns, without being written off as unimportant.

How it's used

A quick walkthrough of the sheet:

Using this tool
1Work down the value-chain rows one at a time, in the order value actually flows.
2For each, record evidence observed — data or direct observation, not opinion or a hunch.
3Note the impact each point has on end-to-end flow, so candidates can be compared on the same basis.
4Rank the points that most limit flow, usually one to three — the cell turns amber for each, in rank order.
5State the root cause behind each ranked constraint — push past the first symptom until you reach something that, if fixed, would remove the constraint rather than relocate it — then one improvement hypothesis per constraint to carry into TO-BE design.
Matches the sheet's own columns exactly: Value chain point, Evidence observed, Impact on flow, Root cause, Constraint rank, Improvement hypothesis.

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