Better Sprint Task Estimates — Assumptions & Unpacking
本页目录· 6 条
Why estimates drift
Teams often underestimate because they silently assume favourable conditions and treat a multi-step item as one simple task. The video recommends two complementary corrections.
Technique 1 — question assumptions
Before estimating, ask:
- What must already be true for this task to start?
- Which dependency, approval, dataset, account or environment could be unavailable?
- What quality, security, accessibility or testing work is hidden in “done”?
- Is the estimate based on the person most familiar with the work rather than whoever may actually do it?
- What could invalidate the proposed approach?
Make the assumptions explicit in the ticket. Unknowns that materially affect effort should become a spike, dependency or risk—not invisible optimism.
Technique 2 — unpack the work
Break the item into observable steps before estimating:
- understand the requirement and acceptance criteria;
- design or prototype;
- implement;
- integrate data/services;
- test and fix;
- document, deploy and verify.
Unpacking reduces the planning fallacy because the team estimates the actual sequence instead of an abstract label.
Warning signs of chronic underestimation
- work repeatedly rolls into the next sprint;
- “almost done” tasks hide testing or integration;
- estimates are reused without revisiting assumptions;
- one person estimates for the whole team;
- work items are too large to expose uncertainty.
FIT5120 estimation checklist
- Acceptance criteria and Definition of Done are visible.
- Dependencies and assumptions are named.
- The task is small enough to complete and verify inside the iteration.
- Design, testing, accessibility, security, deployment and documentation are included.
- The team—not one specialist—has discussed the estimate.
- New evidence triggers re-estimation or backlog refinement.
Source and connection
- Reuse the Week 7 pages on Story Points & Relative Estimation and Desk Checks: relative sizing supports planning; unpacking and desk checks expose the evidence needed to calibrate it.