README.md

metadata

title: Agent Ken — Data-Informed PM Copilot
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 6.5.1
app_file: app.py
pinned: true
license: mit
short_description: Data-informed PM Copilot

🤖 Agent Ken — Your AI Companion for Product Management & Data

An AI assistant that helps you learn and practice product management — from strategy, frameworks, and execution to real-world data analysis. Agent Ken is also integrated by Microsoft Fabric with real product analytics: 5,000 users, 204K events, 90 days of metrics, and 3 trained ML models (churn, LTV, anomaly detection). But it's not just about data — you can also ask about PM frameworks, AI & tech, business strategy, and more.

This isn't a generic ChatGPT wrapper. Ask about retention, and you'll get actual numbers. Ask about PRDs, and you'll get a structured template. Ask about AI, and you'll get practical insights.

⚡ Powered By

Component	Technology
🧠 AI Agent	Azure AI Foundry Agent Service (GPT-5)
🏭 Data Platform	Microsoft Fabric (OneLake + MLflow)
🤖 ML Models	Churn Prediction · LTV Estimation · Anomaly Detection
🖥️ Frontend	Gradio (Hugging Face Spaces)

🚀 What Can Agent Ken Help You With?

📊 Data-Informed (Powered by Fabric ML Pipeline)

Ask about real product metrics — Agent Ken answers with specific numbers, not vague advice:

• "What's our D7 retention?" → 25.6%, with segment breakdown by channel.
• "Which channel has highest LTV?" → Organic at $25.65 (1.9x vs Paid Social).
• "Any anomalies in our metrics?" → Nov 24-25 churn spike (2.8x average).
• "How did checkout experiment do?" → +11.9% conversion, p=0.027, ship it.

🧠 General PM (Powered by GPT-5.1 Knowledge)

All the PM capabilities you'd expect from a senior product manager:

• 🔍 Product Discovery — Jobs-to-be-Done, personas, problem statements, user journeys.
• 📊 Prioritization — RICE scoring, MoSCoW, trade-off analysis.
• 📝 PRDs & User Stories — Product requirements, acceptance criteria, MVP definition.
• 🧪 Experiment Design — A/B tests, hypothesis templates, success metrics.
• 📈 Metrics & OKRs — North Star Metrics, funnel metrics, guardrail metrics.
• 🤝 Stakeholder Communication — Decision memos, release notes, progress updates.
• ♿ Inclusive Design — Accessibility, ethical considerations, vulnerable user safety.

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💾 What Data Powers Agent Ken?

A synthetic but realistic product analytics dataset simulating a mobile app over 3 months:

Dataset	Records	What's Inside
Users	5,000	Channel, country, plan, age group
Events	204,356	App open, purchase, support ticket, etc.
Daily Metrics	90 days	DAU, revenue, retention, churn, NPS
A/B Tests	5 experiments	Checkout, onboarding, push timing, pricing, dark mode

🔑 Key Numbers

Metric	Value
Avg DAU	980
D7 Retention	25.6%
Avg LTV	$19.87
Churn Rate	34.2%
90-day Revenue	$99,241

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🤖 ML Models Trained in Fabric

Model	Algorithm	Score	Key Insight
Churn Prediction	Gradient Boosting	AUC: 1.00	Users inactive 3+ days = high risk
LTV Estimation	Linear Regression	R²: 0.77	Organic users worth 1.9x more than paid
Anomaly Detection	Isolation Forest	5 anomalies	Nov 24-25 churn spike = possible incident

🧪 A/B Test Results

Experiment	Lift	Significant?	Action
Checkout Redesign	+11.9%	✅ p=0.027	Ship ✅
Onboarding Simplification	+8.0%	✅ p=0.021	Ship ✅
Push Notification Timing	+22.0%	✅ p=0.035	Ship ✅
Premium Pricing Test	-5.0%	❌ p=0.289	Rollback ❌
Dark Mode Default	+3.0%	❌ p=0.212	Extend test ⏳

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💡 How to Use

1. Type your question in the chat box.
2. Upload files — drop your CSV, PDF, Excel, or other files. I'll analyze them and give you actionable insights.
3. Ask about data — Agent Ken will cite specific numbers from the Fabric pipeline.
4. Ask about PM — Agent Ken will use product management expertise.
5. Try the examples — click "Try an example" for inspiration.
6. Start fresh anytime with "New Conversation".

🎯 Tips for Best Results

• ✅ "What's our retention by acquisition channel?"
• ✅ "Help me write a PRD for a referral program based on our LTV data"
• ✅ "Score these features using RICE: push notifications, dark mode, onboarding revamp"
• ✅ "Design an A/B test for our new premium pricing"
• ❌ Off-topic questions (biology, cooking, etc.) — Agent Ken is scoped to PM & tech.

👤 About

Built by Kendrick Filbert — AI + PM + Social Impact Practitioner

Powered by Azure AI Foundry (GPT-5.1) · Microsoft Fabric (OneLake + MLflow) · 3 ML Models (Churn · LTV · Anomaly)