Agile Mythology
Done-ish Nuggets
Looks complete from six feet away and in low lighting.
Plain English: “Done” must mean a known quality state, not just “the happy path worked once.”
What this snack represents
Looks complete from six feet away and in low lighting. Crispy on demo day. Soft in production.
Plain English: “Done” must mean a known quality state, not just “the happy path worked once.”
Formula: 45m debate + 2h exceptions + 3h rework later
What this teaches: Definition of Done, Quality Standards.
Why teams underestimate it
The shelf label works because the cost is usually hidden across clarification, review, context switching, QA, and follow-up decisions. BarkBowl makes those ingredients visible before the work is treated as free.
Time formula
45m debate + 2h exceptions + 3h rework later
Worked example
One serving of Done-ish Nuggets is currently modeled at 5h 45m, or 5.75 person-hours. Multiply servings when the work repeats, spreads across more people, or needs another review cycle.
Warning label
May reopen in production.
Evidence needed
Before committing this snack, collect an owner, a reason, a time formula, a rollback or no-op alternative, and a short explanation of what the receipt does and does not prove.
How to reduce the cost
Definition-of-Done Dental Chews
No-op alternative
If evidence, authority, or capacity is missing, the mature move may be to record a no-op decision and revisit when the missing ingredient exists.
What this teaches
- Definition of Done
- Quality Standards
Related lesson
definition-of-done
Related field report
definition-of-done
Related glossary terms
Definition of Done, Quality Standards
Related blueprint
Decision record starter · Open Blueprint Gallery
Copy decision-record starter
Decision: Consider Done-ish NuggetsTime formula: 45m debate + 2h exceptions + 3h rework laterEvidence: [link or owner] No-op alternative: [what happens if we do not act] Boundary: This is a draft for human review, not an approval. Reviewed at UTC: [timestamp]
Boundary note
This snack produces draft learning and time-burn evidence only; it does not approve fixes, validate credentials, train models, or certify safety.
Dogfooding notes
Exercises product snapshotting, time totals, TTL refresh, telemetry, learning translation, and checkout record creation.