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Estimating Task Duration Accurately
Accurate estimation is essential for planning but notoriously difficult. Most estimates are optimistic because they assume everything goes right. Better estimation combines historical data, decomposition, collaborative input, and explicit uncertainty ranges.
Estimation Challenges
| Why Estimates Fail | How to Improve |
|---|---|
| Optimism bias | Add explicit buffer |
| Unknown unknowns | Decompose smaller |
| Scope creep | Define scope clearly |
| Skipped steps | Include all work |
| Individual variation | Team estimation |
Estimation Techniques
Decomposition
TASK DECOMPOSITION
══════════════════
ORIGINAL ESTIMATE:
"Build login feature" - 3 days ❌ Too vague
DECOMPOSED:
─────────────────────────────────────
"Build login feature"
├── Design API endpoints 2h
├── Implement backend auth 4h
├── Write unit tests 2h
├── Create frontend form 3h
├── Frontend validation 1h
├── Connect frontend to API 2h
├── End-to-end tests 2h
├── Error handling 2h
├── Code review cycles 2h
├── Bug fixes from review 2h
├── Documentation update 1h
├── Deploy and verify 1h
─────────────────────────────────────
TOTAL: 24h = 3 days coding
+ Buffer (30%): 7h
= 4 days realistic ✓
DECOMPOSITION RULE:
├── No task > 4 hours
├── If bigger, decompose further
├── Include non-coding tasks
└── Be specific, not vague
Historical Comparison
USING HISTORICAL DATA
═════════════════════
SIMILAR PAST TASKS:
─────────────────────────────────────
Feature Type: User form with API
Past Examples:
├── Registration form: Est 3d → Actual 4d
├── Profile update: Est 2d → Actual 3d
├── Settings page: Est 2d → Actual 2.5d
─────────────────────────────────────
Average actual/estimate ratio: 1.4x
NEW ESTIMATE:
Login feature estimate: 3 days
Calibrated estimate: 3 × 1.4 = 4.2 days
Round up: 5 days
TRACKING CALIBRATION:
├── Record estimate for each task
├── Record actual time spent
├── Calculate ratio over time
├── Use ratio to calibrate
└── Improve ratio over time
Team Estimation
PLANNING POKER
══════════════
PROCESS:
1. Present task to team
2. Clarify requirements
3. Everyone estimates silently
4. Reveal estimates simultaneously
5. Discuss differences
6. Re-estimate until convergence
FIBONACCI SCALE:
├── 1, 2, 3, 5, 8, 13, 21, ?
├── Gap increases with size
├── Reflects uncertainty
└── ? = Too big, needs decomposition
EXAMPLE SESSION:
─────────────────────────────────────
Task: "Add OAuth login"
Round 1: Sarah: 5, Mike: 8, Alex: 13
Discussion:
Sarah: "Simple library integration"
Mike: "Need error handling, tests"
Alex: "Don't forget multiple providers"
Round 2: Sarah: 8, Mike: 8, Alex: 8
Consensus: 8 points ✓
─────────────────────────────────────
Three-Point Estimation
THREE-POINT ESTIMATES
═════════════════════
FOR EACH TASK:
├── Optimistic (O): Everything goes right
├── Most Likely (M): Normal conditions
├── Pessimistic (P): Things go wrong
PERT FORMULA:
Estimate = (O + 4M + P) / 6
EXAMPLE:
─────────────────────────────────────
Task: Implement search feature
Optimistic: 2 days (simple requirements, no bugs)
Most Likely: 4 days (normal development)
Pessimistic: 8 days (complex edge cases, rework)
PERT Estimate = (2 + 4×4 + 8) / 6 = 4.3 days
REPORT AS RANGE:
"4-5 days, could be up to 8 if complications"
─────────────────────────────────────
WHEN TO USE RANGES:
├── High uncertainty tasks
├── New technology
├── Unclear requirements
├── External dependencies
└── Stakeholder communication
Estimation Process
Complete Task Estimation
COMPLETE ESTIMATION CHECKLIST
═════════════════════════════
FOR EVERY ESTIMATE, INCLUDE:
□ DEVELOPMENT TIME
├── Coding
├── Local testing
└── Debugging
□ QUALITY TIME
├── Unit tests
├── Integration tests
├── Code review (multiple cycles)
└── Bug fixes from review
□ INTEGRATION TIME
├── Merge conflicts
├── CI/CD pipeline
├── Staging testing
└── Production deploy
□ DOCUMENTATION
├── Code comments
├── API documentation
├── User documentation
└── Internal notes
□ COMMUNICATION
├── Clarification meetings
├── Status updates
├── Demo preparation
└── Handoff
□ BUFFER
├── Unknown issues (30% default)
├── Meetings/interruptions
├── Context switching
└── Energy variation
Sprint Capacity
SPRINT CAPACITY CALCULATION
═══════════════════════════
AVAILABLE HOURS:
─────────────────────────────────────
Working days: 10
Hours per day: 8
Total: 80 hours
SUBTRACT OVERHEAD:
├── Meetings (avg): -10 hours
├── Email/Slack: -5 hours
├── Code reviews: -5 hours
├── Unplanned work: -5 hours
├── Context switching: -5 hours
─────────────────────────────────────
Productive coding: 50 hours (62%)
PLAN AT 70% OF PRODUCTIVE:
50 × 0.7 = 35 hours planned
WHY 70%:
├── Estimates are optimistic
├── Unknowns happen
├── Leave room for quality
├── Sustainable pace
└── Better to under-promise
TEAM CAPACITY:
5 developers × 35 hours = 175 hours
Buffer maintained at team level
GitScrum for Estimation
Tracking Estimates
GITSCRUM ESTIMATION FEATURES
════════════════════════════
ESTIMATE FIELD:
├── Add estimate when creating task
├── Story points or hours
├── Required before sprint
ACTUAL FIELD:
├── Log time spent
├── Automatic or manual
├── Compare to estimate
ESTIMATION REPORT:
─────────────────────────────────────
Task Estimate Actual Ratio
─────────────────────────────────────
GS-123 5 pts 7 pts 1.4x
GS-124 3 pts 3 pts 1.0x
GS-125 8 pts 12 pts 1.5x
─────────────────────────────────────
Average ratio: 1.3x
Use 1.3x to calibrate future estimates
VELOCITY TRACKING:
├── Points completed per sprint
├── Trend over time
├── Predictable planning basis
└── Adjust capacity based on velocity
Best Practices
For Accurate Estimates
- Decompose first — Break down before estimating
- Use history — Calibrate with past data
- Estimate together — Team wisdom
- Include everything — Not just coding
- Track and learn — Improve over time
Anti-Patterns
ESTIMATION MISTAKES:
✗ Coding time only (no tests, review)
✗ Optimistic assumptions
✗ No decomposition
✗ Individual estimates for team
✗ Never tracking actual vs. estimate
✗ Treating estimates as commitments
✗ No buffer for unknowns
✗ Pressure to underestimate