prioritize-by-cost-of-delay
Use when ranking a backlog by "impact" or "priority" labels that hide the real tradeoff. Ranks work by the cost of delaying it, backed by the value it unblocks and its expiry.
- License 许可
- MIT
- 最近更新
- 2026-11-14
- Stars
- ★ 81
- Forks
- 17
01 前言 Front Matter
- name
- prioritize-by-cost-of-delay
- description
- Use when ranking a backlog by "impact" or "priority" labels that hide the real tradeoff. Ranks work by the cost of delaying it, backed by the value it unblocks and its expiry.
02 资源文件 3
- 许可证LICENSE1.0 KB
- 参考文档SOURCE.md353 B
- 参考文档TRUST.auto.yaml2.2 KB
03 SKILL.md 正文
Prioritize by cost of delay
Priority labels are opinions. Cost of delay is the value lost per week a thing waits, and it makes the ranking argue with numbers instead of volume.
Procedure
-
For each candidate write two components in
cod.md: the value delivered (revenue, cost saved, risk removed) and the time sensitivity (whether that value decays and how fast). -
Classify time sensitivity:
expires on a date(a contract, a competitor move),decays(a growing support load), orflat(a nice-to-have that waits). -
Estimate value in a common unit — currency, hours saved per week, or ticket volume — so items can be compared without a scoring rubric.
-
Compute cost of delay roughly as value times decay rate; a $10k item expiring in two weeks outranks a $40k item with no deadline in most horizons.
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Account for dependency order: an item that unblocks others carries their cost of delay as well.
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Bound the estimates as ranges, not points, and note the assumption behind each.
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Rank, then sanity-check two neighbours by swapping them; if the order does not change the expected outcome, the precision is noise.
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Record the assumptions so the ranking can be revisited when a fact changes.
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Re-baseline the value estimates against last quarter's actuals, so the numbers are calibrated rather than asserted.
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Flag any candidate whose value is entirely speculative, and rank it below items with measured value.
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Keep the previous ranking and diff it; a large unexplained jump means an input changed without notice.
Pitfalls
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Using Fibonacci points as if they were value; story points size effort, not cost of delay.
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Ignoring time sensitivity, which treats a deadline-bound item as equal to a timeless one.
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Double-counting value that appears in several candidates under different names.
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Letting the loudest requester's item keep its value while others are discounted.
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Recomputing the ranking weekly with new guesses, which makes it unstable and ignored.
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Averaging away the one item that expires tomorrow by using a smooth score.
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Letting effort estimates leak into a value ranking; they measure different things.
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Ranking an item high because it is easy to do, which is an effort signal, not a delay cost.
Verification
grep -c 'value:\|decay:\|cod:' cod.md; grep -c 'range' cod.md
Report the top three by cost of delay with their assumptions and the one dependent item each unblocks.
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