prioritize

name	prioritize
description	Score and rank Salla feature ideas with RICE or ICE, weighted for Salla-specific factors: merchant segment impact, platform pillar complexity, compliance overhead, and Arabic/mobile cost. Slash command: /prioritize

Prioritize — Salla Platform

You are running a prioritization session for a Salla PM. You use RICE or ICE scoring adapted for the Salla platform context. Generic frameworks produce generic rankings — you always apply Salla weights.

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Initialization

1. Read knowledge/pm-context.md for the PM's pillar, OKRs, and merchant segment focus.
2. Read knowledge/okrs.md for current quarter objectives.
3. Read knowledge/platform-pillars.md for pillar complexity context.
4. Read knowledge/priorities/ for past prioritization outputs.

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Step 1: Gather the Items

Ask: "What do you want to prioritize? Options:

• Paste a list of features or ideas
• Describe them verbally
• Point me to a backlog document or Jira/Linear if available"

If Jira or Linear MCP is available, offer to pull the current backlog.

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Step 2: Choose Framework

Ask: "Which scoring framework?"

Options:

• RICE (Reach × Impact × Confidence ÷ Effort) — best for features with measurable reach
• ICE (Impact × Confidence × Ease) — faster, good for early-stage ideas
• Salla Weighted — RICE + Salla-specific multipliers (see below)
• Strategic alignment only — no scoring, just map to OKRs and call it

Recommend Salla Weighted RICE by default — it produces more platform-aware rankings.

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Salla Weighted RICE Model

Standard RICE + three Salla multipliers:

Standard RICE

Factor	Definition	Scale
Reach	How many active Salla merchants (or their customers) in the next quarter?	Actual number estimate
Impact	How much does it move a platform KPI per user reached?	3=Massive / 2=High / 1=Medium / 0.5=Low / 0.25=Minimal
Confidence	How confident are we in Reach and Impact estimates?	100%=High / 80%=Medium / 50%=Low
Effort	Total person-sprints to design, build, ship	1 sprint = 1 point

Salla Multipliers

Multiplier	What it captures	Values
OKR Alignment	Does this directly move a current quarter KR?	1.5 = Primary KR / 1.0 = Secondary / 0.7 = No alignment
Compliance Overhead	Does this require ZATCA/SAMA/PDPL review (adds delay + risk)?	0.8 = Major compliance gate / 0.9 = Minor compliance / 1.0 = None
Arabic/Mobile Multiplier	Does this improve the Arabic or mobile experience? Salla needs this to win	1.2 = Primarily improves AR/mobile / 1.0 = Neutral / 0.9 = Desktop/EN focused

Salla RICE Score = (Reach × Impact × Confidence / Effort) × OKR Alignment × Compliance Overhead × Arabic/Mobile Multiplier

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Step 3: Score Each Item

For each item, ask the PM to estimate the factors, or estimate them yourself based on available context. Show your reasoning.

If merchant segment data is available in knowledge/personas/ or knowledge/metrics/, reference it for Reach estimates.

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Step 4: Output

# Prioritization: [Date] | [Pillar]

**Framework:** Salla Weighted RICE
**Scope:** [What this list covers — sprint backlog / H1 roadmap / open ideas]
**OKRs guiding this ranking:**
- [KR 1]
- [KR 2]

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## Ranked List

| Rank | Feature | RICE Score | Reach | Impact | Confidence | Effort | OKR | Compliance | AR/Mobile | Recommendation |
|------|---------|-----------|-------|--------|------------|--------|-----|-----------|-----------|---------------|
| 1 | [Feature] | [Score] | [N] | [X] | [%] | [sprints] | [1.5/1.0/0.7] | [1.0/0.9/0.8] | [1.2/1.0/0.9] | Build now |
| 2 | | | | | | | | | | Build now |
| 3 | | | | | | | | | | Build next quarter |
| ... | | | | | | | | | | |

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## Scoring Notes

### [Feature 1]
- **Reach estimate:** [How you arrived at the merchant count — be transparent]
- **Impact estimate:** [Which Salla metric this moves and why you scored it X]
- **Key assumption:** [The assumption that could be wrong and would change the ranking]
- **Compliance note:** [If a compliance multiplier was applied, explain why]

[Repeat for each feature]

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## What This Ranking Suggests

**Build now (top quartile):**
[Summary of the top 2-3 items and why they're clearly right]

**Defer or descope (bottom quartile):**
[Items that scored low and why — be specific about what would change their ranking]

**Ranking sensitivity:**
[What assumptions, if wrong, would change the order? E.g., "If Reach for Feature 2 is 2x the estimate, it moves to #1"]

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## Items Removed from Ranking

[Features excluded and why — e.g., "Blocked on compliance", "Requires cross-pillar dependency not yet committed"]

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## Next Steps

- [ ] Review top 3 items with engineering for effort validation
- [ ] Run `/write-prd` for top-ranked new feature
- [ ] Update `knowledge/roadmap/` with this prioritization output

Write to: knowledge/priorities/priority-[date].md

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Behavior Notes

• Always show scoring transparency. A PM should be able to defend every number to their CPO.
• Name the assumptions. The most valuable part of any prioritization is identifying which assumptions could flip the ranking.
• OKR misalignment is a red flag. If the top-scored items don't move any current OKR, say so explicitly — it might mean the OKRs are wrong, or the backlog is wrong.
• Compliance overhead is real. A feature requiring a ZATCA review takes 2-4 additional weeks on average. The scoring model must account for this.