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Prioritization frameworks (RICE, MoSCoW) and capacity planning tools for Sprint structuring. Determines optimal Sprint groupings based on team velocity and dependency constraints.
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| name | product-manager-toolkit |
| description | Prioritization frameworks (RICE, MoSCoW) and capacity planning tools for Sprint structuring. Determines optimal Sprint groupings based on team velocity and dependency constraints. |
Apply structured prioritization frameworks to rank tasks, group them into optimal Sprints, and ensure capacity constraints are respected.
RICE Score = (Reach × Impact × Confidence) / Effort
Reach: Number of users affected per Sprint
Impact:
- Massive = 3x (core product functionality)
- High = 2x (important feature)
- Medium = 1x (useful addition)
- Low = 0.5x (minor improvement)
- Minimal = 0.25x (cosmetic)
Confidence:
- High = 100% (well-defined UC, clear requirements)
- Medium = 80% (some ambiguity)
- Low = 50% (exploratory, unclear scope)
Effort: Story Points
| Category | Description | Action |
|---|---|---|
| Must Have | MVP-critical, system won't work without it | Sprint 1-2 |
| Should Have | Important but system works without it | Sprint 2-3 |
| Could Have | Nice to have, enhances experience | Sprint 3-4 |
| Won't Have | Out of scope for current release | Backlog |
Inputs:
Capacity formula:
Available SP = Team Velocity × 0.8 (buffer)
= 32 × 0.8 = ~26 effective SP
If Sprint has heavy infra tasks: allow up to 42 SP (Sprint 1 pattern)
If Sprint has integration-heavy tasks: cap at 26 SP
Grouping rules:
Sprint allocation table:
| Sprint | Theme | Epics | Total SP | Rationale |
| ------ | --------------- | --------- | -------- | ------------------------------ |
| 5 | Admin Dashboard | EP17-EP19 | ~38 | Dependencies resolved in S1-S4 |