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Improving Sprint Planning Accuracy

Sprint planning accuracy determines whether you deliver what you committed or constantly miss targets. Accurate planning builds trust with stakeholders, enables reliable forecasting, and creates sustainable pace. It requires data, discipline, and continuous calibration.

Planning Accuracy Problems

ProblemCauseSolution
Over-commitOptimism biasUse historical velocity
Unfinished workScope creepProtect commitment
Constant surprisesUnknown workAdd buffer
Inaccurate estimatesNo feedback loopTrack actual vs. estimate

Estimation Improvement

Using Historical Data

VELOCITY-BASED PLANNING
═══════════════════════

HISTORICAL VELOCITY:
─────────────────────────────────────
Sprint   Committed   Completed   Rate
────────────────────────────────────
  20       35          32        91%
  21       38          29        76%
  22       32          30        94%
  23       34          33        97%
  24       36          31        86%
  25       33          32        97%
─────────────────────────────────────
Average velocity: 31 points
Standard deviation: 1.5 points
Reliable capacity: 30 points (avg - 1 std)

NEXT SPRINT PLANNING:
├── Don't commit > 30 points
├── If uncertain items, commit less
├── Leave room for surprises
└── 30 points = realistic commitment

VELOCITY TREND:
├── Stable: Use average
├── Improving: Use recent average (last 3)
├── Declining: Investigate root cause
└── Erratic: Use lowest recent

Task Decomposition

BREAKING DOWN WORK
══════════════════

BEFORE:
─────────────────────────────────────
User Story: "User login"
Estimate: 13 points (large, vague)
Accuracy: Poor (too big to estimate)

AFTER (decomposed):
─────────────────────────────────────
"Login - UI form"           3 pts
"Login - API endpoint"      3 pts
"Login - validation"        2 pts
"Login - error handling"    2 pts
"Login - tests"             2 pts
"Login - integration"       1 pt
─────────────────────────────────────
Total: 13 points (same, but accurate)

WHY BETTER:
├── Each piece is understood
├── Hidden complexity exposed
├── Can verify each part
├── Better tracking
└── Easier to parallelize

DECOMPOSITION RULES:
├── No item > 5 points
├── Each item ships independently
├── Clear acceptance criteria each
├── Estimable in < 2 minutes
└── Complete in 1-2 days

Estimation Calibration

ESTIMATE CALIBRATION
════════════════════

TRACK FOR EACH TASK:
├── Estimate (points or hours)
├── Actual time spent
├── Calculate ratio

EXAMPLE TRACKING:
─────────────────────────────────────
Task       Estimate   Actual   Ratio
─────────────────────────────────────
GS-123     3 pts      4.5 hrs  1.5x
GS-124     2 pts      2 hrs    1.0x
GS-125     5 pts      9 hrs    1.8x
GS-126     3 pts      3 hrs    1.0x
─────────────────────────────────────
Average ratio: 1.3x

CALIBRATION:
├── Team underestimates by 1.3x
├── Apply factor to future estimates
├── Or acknowledge in capacity planning
└── Improve over time

FEEDBACK LOOP:
1. Estimate before work
2. Track actual during work
3. Compare at sprint end
4. Discuss in retro
5. Adjust technique
6. Repeat

Capacity Planning

Realistic Capacity

TRUE CAPACITY CALCULATION
═════════════════════════

STARTING POINT:
├── 5 developers
├── 10 working days (2-week sprint)
├── 8 hours/day
└── Total: 400 hours (theoretical)

SUBTRACT OVERHEAD:
─────────────────────────────────────
Meetings per developer:           -16h
├── Daily standup: 5h (15min × 10d × 2)
├── Sprint planning: 2h
├── Sprint review: 1h
├── Retrospective: 1h
├── 1:1 meetings: 2h
├── Other meetings: 5h

Per developer non-coding:         -8h
├── Email/Slack: 5h
├── Context switching: 3h

Total overhead per person: 24h
For 5 developers: 120h

─────────────────────────────────────
Productive capacity: 400 - 120 = 280h

FURTHER ADJUST:
├── PTO this sprint: -16h (1 person, 2 days)
├── Holidays: 0
├── Support rotation: -8h
└── Adjusted: 256h

PLAN AT 80%:
256h × 0.8 = 205h plannable
= ~41h per developer
= ~5 days actual coding

MUCH LESS THAN 8h × 10 DAYS!

Buffer for Unknowns

BUILDING IN BUFFER
══════════════════

BUFFER TYPES:
─────────────────────────────────────
1. ESTIMATION BUFFER (20%)
   ├── Estimates are optimistic
   ├── Hidden complexity
   └── Apply to each estimate

2. SPRINT BUFFER (10-15%)
   ├── Unexpected work
   ├── Production issues
   ├── Urgent requests
   └── Don't fill to 100%

3. RISK BUFFER (variable)
   ├── New technology: +20%
   ├── Unclear requirements: +30%
   ├── External dependency: +20%
   └── New team member: +15%

APPLICATION:
─────────────────────────────────────
Capacity: 40 points

Committed work: 32 points (80%)
├── Known work: 25 points
├── Estimation buffer: 5 points (20%)
├── Sprint buffer: 2 points

Remaining: 8 points (20%)
├── For urgent unplanned work
├── For carrying forward if needed
└── Not committed, aspirational

Sprint Protection

Scope Management

PROTECTING SPRINT SCOPE
═══════════════════════

COMMITMENT = CONTRACT
─────────────────────────────────────
At sprint planning:
├── Team commits to specific items
├── Stakeholders accept commitment
├── Changes require negotiation
└── Not a one-way addition

CHANGE PROCESS:
─────────────────────────────────────
New request during sprint:

1. "Is it urgent? (Production down, etc.)"
   ├── If yes: Add, something else drops
   └── If no: Goes to next sprint

2. "If urgent, what gets removed?"
   ├── Equal or greater scope
   ├── Requester decides priority
   └── No free additions

3. Document the swap
   ├── Added: GS-789 (urgent bug)
   ├── Removed: GS-234 (moved to next)
   └── Reason: Customer-facing issue

SAYING NO:
├── "Sprint is committed. Next sprint?"
├── "We can add this if X drops."
├── "Let's discuss in planning."
└── Protect the team

Carryover Management

HANDLING CARRYOVER
══════════════════

IDEAL: No carryover
REALITY: Sometimes happens

IF CARRYOVER OCCURS:
─────────────────────────────────────
1. ANALYZE IN RETRO
   ├── Why wasn't it completed?
   ├── Estimate wrong?
   ├── Blocked?
   ├── Scope crept?
   └── Understand root cause

2. DECIDE FATE
   ├── Must complete: Carry forward
   ├── Can wait: Reprioritize
   ├── Obsolete: Close/archive
   └── Don't auto-carry everything

3. ADJUST NEXT SPRINT
   ├── Carried work is first priority
   ├── Reduce new commitment
   ├── Account for partial work done
   └── Don't overload

TRACKING:
├── Carryover rate per sprint
├── Trend: Should decrease over time
├── Target: < 10% of commitment
└── Action if consistently high

GitScrum for Planning

Planning Features

GITSCRUM PLANNING TOOLS
═══════════════════════

VELOCITY DASHBOARD:
├── Last 6 sprints velocity
├── Trend visualization
├── Recommended commitment
└── Capacity calculator

SPRINT PLANNING VIEW:
┌─────────────────────────────────────────────────────────┐
│  Sprint 26 Planning                                    │
├─────────────────────────────────────────────────────────┤
│  CAPACITY                                               │
│  Average velocity: 31 pts                              │
│  Team availability: 90% (PTO adjustment)               │
│  Recommended: 28 pts                                   │
│                                                         │
│  COMMITTED: 26 pts (93% of recommended)               │
│  ────────────────────────────────────────────────       │
│  [GS-300] Login redesign          8 pts               │
│  [GS-301] API performance         5 pts               │
│  [GS-302] Bug fixes               5 pts               │
│  [GS-303] Dashboard update        5 pts               │
│  [GS-304] Documentation           3 pts               │
│                                                         │
│  STATUS: ✓ Within capacity                             │
└─────────────────────────────────────────────────────────┘

ESTIMATION ACCURACY:
├── Track estimate vs. actual
├── Calibration factor
├── Team-level trends
└── Individual insights (optional)

Best Practices

For Sprint Planning

  1. Use velocity data — Don't guess capacity
  2. Decompose work — Smaller = more accurate
  3. Include buffer — Plan for unknowns
  4. Protect commitment — Say no to additions
  5. Track accuracy — Improve through feedback

Anti-Patterns

PLANNING MISTAKES:
✗ Ignoring historical velocity
✗ 100% capacity planning
✗ Large vague stories
✗ No buffer for unknowns
✗ Adding without removing
✗ Not tracking accuracy
✗ Same mistakes each sprint
✗ Optimism over data