← Roblox Decision Engine
Portfolio Case Study · Delivery Complete

Roblox Decision Engine

AI Product & Growth Analyst for Roblox studios. The product turns retention, monetization and funnel signals into prioritized, evidence-backed actions and experiment decisions.

Roblox Open CloudProduct AnalyticsDecision IntelligenceFastAPIPostgreSQLAI AgentsExperimentationNext.js
Open validation demoView pricingView pilot workspace
Validation
100%

Landing page and clickable validation experience complete

Product
100%

Decision Engine, grounded AI Analyst and Experiment Copilot implemented

Engineering
100%

Roblox ingestion, decision path, model safeguards, security, reliability and production build are validated with CI and live provider smoke tests

Commercial
70%

Plans, validation pricing and 30-day guided pilot are defined; paid conversion remains to be validated with real studios

Product Thesis

Roblox tells studios what happened. The Decision Engine tells them what to do next.

The system validates metric changes deterministically, compares baselines and segments, generates a structured evidence bundle and only then lets the AI layer explain the finding. Supported findings can be turned into bounded experiments with explicit success thresholds and guardrails.

Architecture

Thin analytics layer. Strong decision layer.

01
Roblox Analytics
02
Query Adapter
03
Metric Normalization
04
PostgreSQL
05
Decision Engine
06
Evidence Bundle
07
AI Analyst
08
Experiment Copilot
Verified Evidence

The portfolio claim is backed by gates, not screenshots alone.

39
backend tests

Reliability gate passed with the full backend suite.

2
live providers

Roblox analytics and OpenAI model paths both passed live smoke validation.

0
frontend vulnerabilities

Dependency audit was cleared after the Next.js security upgrade.

15
launch routes

Landing, product demo, pilot, portfolio and public release metadata are included in the production route manifest.

Engineering principle

AI explains. Evidence decides.

Authoritative metrics and priority logic stay deterministic. The model receives structured evidence, cannot invent unsupported numbers or causal certainty, and falls back safely when validation fails.

Still unvalidated

Build complete ≠ market proven.

There are no claims of paying studios, recurring revenue, validated willingness to pay or proven KPI lift. That is why commercial validation remains at 70% even though engineering and portfolio delivery are complete.

Delivery

R0–R12 delivery complete

R0
Product foundation
DONE
R1
Validation experience
DONE
R2
SaaS foundation
DONE
R3
Roblox data connection
DONE
R4
Decision Engine v1
DONE
R5
AI Product Analyst
DONE
R6
Experiment Copilot
DONE
R7
Pilot readiness
DONE
R8
Commercial readiness
DONE
R9
Security & privacy
DONE
R10
Reliability
DONE
R11
Go-Live
DONE
R12
Portfolio closure
DONE