PM Dispatch — Free Product Management Tools for Product Managers
PM Dispatch is a free, browser-based toolkit built by a Chief Product Officer with 10+ years in mobile gaming. No account or login required.
RICE Prioritization Calculator
Score and rank your product backlog using the RICE framework — Reach, Impact, Confidence, and Effort. The free RICE calculator helps product managers make data-driven prioritization decisions.
A/B Test Sample Size Calculator
Calculate the minimum sample size needed to detect a statistically significant lift in your A/B test. Supports conversion rate, retention, and ARPU experiments with adjustable MDE and power settings.
Stats Lab — A/B Test Significance Calculator
Frequentist and Bayesian A/B test analysis for product managers. Test conversion rate significance, retention lift, and ARPU differences with p-value and confidence interval outputs.
Growth Tools — ROAS, LTV & Cohort Analysis
Free growth modeling tools: ROAS calculator, customer lifetime value (LTV) modeler, ad revenue projector, and cohort retention analysis. Designed for mobile game and app product managers.
PM Playbook — Product Management Guides
Step-by-step product management guides on sprint planning, writing a PRD, setting OKRs, conducting user research, and building a product roadmap. Written by an experienced CPO.
Daily PM Insight
One product management insight per day — frameworks, mental models, and tactical tips from experienced product leaders. Rotating library updated regularly.
Mobile Gaming News for Product Managers
Curated mobile gaming industry news relevant to product managers, including monetization trends, game launches, and market analysis.
PM Dispatch Newsletter
Free weekly newsletter on product management strategy, mobile game monetization, growth tactics, and PM career development. Subscribe at pmdispatch.com.
Built by a CPO · Always free
The PM Toolkit Built for Shipping.
Prioritization frameworks, A/B statistics, growth models, sample size calculators, gaming industry news, and more — all in one place, no login required.
20+
Tools
5
Frameworks
Free
Always
📮 Weekly newsletter on PM, growth, and mobile monetization
20+
Tools
Prioritization
Stats Lab
Growth Tools
A/B Sample Size
PM Playbook
Leaderboard
Daily Insight
About
Prioritization Frameworks
RICE · ICE · Weighted Scoring · MoSCoW · Kano — all in one place
RICE Scorer
Reach × Impact × Confidence ÷ Effort
Feature / Initiative
Reach %
Impact
Confidence
Effort
T-Shirt
RICE Score
Priority Ranking
ICE Scorer
Impact × Confidence × Ease — faster, lighter than RICE
Feature
Impact (1–10)
Confidence (1–10)
Ease (1–10)
ICE Score
ICE Ranking
Define Criteria & Weights
Weights must sum to 100. Customize criteria for your team.
Weight Distribution
Weighted Feature Scoring
Must Have
Critical
Could Have
Nice-to-have
Should Have
Important
Won't Have
Deferred
Kano Feature Classifier
Rate each feature on Functional (present) and Dysfunctional (absent) satisfaction.
Prior: Beta(1,1) — uninformative. Updates on observed data.
Posterior Distribution
Bayesian A/B — Retention
D1 / D7 / D30 retention test
Retention Posterior
Interpretation
ARPU Comparison
Mann-Whitney U + Bootstrap CI
ARPU Distribution Estimate
Revenue Impact
Growth Tools
ROAS · LTV · Ad Revenue · Cohort Revenue
ROAS Curve Projection
Model cumulative ROAS over time across spend scenarios
Upload Cohort Data
CSV or XLSX · Each row = one acquisition date cohort
📂
Drop file here or click to browse
.csv · .tsv · .xlsx · .xls
Configuration
Column detection is automatic — override if needed
Expected format:
Columns: Day · CPI · Installs · Spend · Revenue Day 0 · Revenue Day 1 … Revenue Day N · D0 ROAS · D1 ROAS …
Each row is one acquisition date cohort. Revenue columns are per-install or total (configure below).
📉 Retention adjustment (optional — refines curve)
When enabled, the projected ROAS curve is multiplied by a retention survival curve fitted to your D1/D7/D30 inputs — so projections beyond your observed data window decay realistically instead of extrapolating linearly.
Cohorts
—
Total Installs
—
Avg CPI
—
Avg D0 ROAS
—
Avg D7 ROAS
—
Proj. Breakeven
—
ROAS Curve by Day (Avg across cohorts)
Actual observed + power-law projection
Revenue per Cohort by Day
Each line = one acquisition cohort
Budget Scenario Comparison
Projected total revenue at each monthly spend level
Projected ROAS Milestones
Fitted curve extrapolated from observed data
Day
Proj. ARPU/Install ($)
ROAS %
Status
Load data to see projections
Cohort Summary Table
One row per acquisition cohort — revenue by day, ROAS, CPI
No data loaded
Analysis & Recommendations
Load cohort data to see automated analysis.
LTV Calculator
Multiple models
LTV Curve
Ad Revenue Estimator
DAU × Sessions × eCPM model
Revenue Breakdown
Cohort Revenue Model
Monthly install cohorts + retention curve
Monthly Cumulative Revenue
Sample Size Calculator
How long do I need to run this A/B test? Power analysis for conversion, retention & revenue tests.
Conversion Rate Test
Two-proportion Z-test power analysis
Power Curve
Sample size vs detectable effect
Test Duration Scenarios
Retention Rate Test
D1 / D7 / D30 cohort sizing
Cohort Size vs Detectable Effect
Timeline
ARPU / Revenue Test
T-test for continuous revenue metric
Standard Deviation Impact
How SD affects required sample size
Revenue Guardrails
Multi-Variant Test Planner
Bonferroni-corrected sample sizes
Variant Comparison Table
⚠️ Multi-Variant Warnings
North Star Metric Dashboard
Define leading indicators, weight them, and track your composite North Star score. Paste CSV or enter manually.
Define the metrics that predict your North Star. Weights must sum to 100.
North Star Score
—
Composite score
0Target
North Star Trend
Leading Indicators Over Time
PM Playbook
Frameworks, guides, and mental models for every stage of product work
Portfolio Insight
Arturo Ruiz Valdés
CPO
Chief Product Officer · PerBlue · Vancouver, WA
Product leader with 10+ years building mobile games at scale. Contributed to multi-million dollar franchises including Summoners War: Sky Arena, Disney Heroes: Battle Mode, and Legendary: Game of Heroes.
At PerBlue I lead product strategy across multiple live titles. I've soft-launched 10+ games, from prototype and design through soft launch, live ops, and long-term monetization optimization.
I built PM Dispatch because I kept rebuilding the same spreadsheets and stat calculators in every role. This is the tool I wish existed when I started — all the prioritization frameworks, significance tests, and growth models in one place, free and without friction.
10+
Years in Product
10+
Games Launched
3
Major Franchises
20+
Toolkit Tools
Mobile GamingMonetizationLive OpsUA EconomicsSoft LaunchGacha DesignBayesian A/BProduct StrategyP&LGame Design
Arturo Ruiz Valdés
Chief Product Officer · Game Industry
Building products that reach millions. PM Dispatch is the free toolkit I wish I had when I started.
