JK
JustKalm
Product Strategy

Product Management

Data-driven product development with customer research, impact-based prioritization, and continuous experimentation.

47

Features Shipped

This Quarter

72

Customer NPS

+8 YoY

12

Active Experiments

Running

156

User Interviews

This Year

RICE Framework

Quantitative prioritization using Reach, Impact, Confidence, and Effort scoring.

# RICE Scoring Framework

## Formula
RICE Score = (Reach × Impact × Confidence) / Effort

## Scoring Guide

### Reach (users/quarter)
- 10,000+ users → 10
- 5,000-10,000  → 7
- 1,000-5,000   → 5
- 500-1,000     → 3
- < 500         → 1

### Impact (on key metric)
- Massive (3x)  → 3
- High (2x)     → 2
- Medium (1.5x) → 1
- Low (1.2x)    → 0.5
- Minimal       → 0.25

### Confidence (in estimates)
- High (data)   → 100%
- Medium (some) → 80%
- Low (guess)   → 50%

### Effort (person-weeks)
- 1-2 weeks     → 1
- 3-4 weeks     → 2
- 1-2 months    → 4
- Quarter       → 8

# Example: Batch Valuation API
Reach: 5,000 (score: 7)
Impact: High (score: 2)
Confidence: High (score: 1.0)
Effort: 3 weeks (score: 2)

RICE = (7 × 2 × 1.0) / 2 = 7.0

Prioritized Backlog

Real-time Marketplace Data
RICE: 12.5Current
Mobile SDK (iOS/Android)
RICE: 9.8Next
Enhanced AI Explainability
RICE: 8.4Next
Sustainability Report Export
RICE: 7.2Q1 2025
GraphQL Subscriptions
RICE: 6.8Shipped
Batch Processing API
RICE: 6.5Shipped

Customer-Driven Development

Every feature backed by research and validated with experiments.

156 User Interviews/Year72 NPS Score47 Features Shipped