AI-Powered Product Discovery and Strategy

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AI-Powered Product Discovery and Strategy
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 4h 15m | Size: 2.13 GB

Part 1 of 5: size a market, map competitors, rank features and plan a roadmap, by hand first, then with AI

What you'll learn
Size a market with TAM, SAM and SOM and decide whether a product should enter it
Map direct, indirect and non-consumption competitors and compare them in one matrix
Find, rank and frame the user problems worth solving before you build anything
Write a product vision and a one-page product strategy
Score features with RICE and ICE and turn the ranking into a 90-day roadmap
Use AI for market research, competitive analysis, trend detection, survey insights and priority scoring
Check every AI output: verify each number, protect personal data and keep the strategic decisions human

Requirements
No product management, design or coding experience needed. The course starts from first principles
A computer with internet access and a free account on an AI assistant such as ChatGPT, Claude or Gemini
About 10 hours a week, or study at your own pace

Description
Most AI courses show you tools. This course teaches you the work first. You learn each product discovery method by hand, so you know what a good answer looks like. Then you use AI to get there faster, and you check what it gives you.

This is Part 1 of the AI-Powered Product Development Accelerator, a five-part program. Part 1 covers product discovery and strategy: the decisions you make before you build anything.

What you do in Part 1
- Size a market with TAM, SAM and SOM and decide whether to enter it
- Map direct, indirect and non-consumption competitors
- Find, rank and frame the user problems worth solving
- Write a product vision and a one-page strategy
- Score features with RICE and ICE
- Turn the ranking into a 90-day roadmap

The first six lessons teach each method step by step, with the time each step takes, a template and a quality checklist. The next five lessons hand one job each to AI: market research, competitive analysis, trend detection, survey insights and priority scoring. Each AI lesson gives you a workflow, tools with prices and a free route, a prompt library and a verification checklist.

Every lesson has a hands-on lab. You run each lab on TRUF, a ride-hailing case study set in Dubai, or on your own product. Part 1 ends with a Project Pack: a competitive analysis matrix, a one-page strategy, a prioritized feature list and a 90-day roadmap.

Three rules run through every lesson: verify every number, never paste personal data into an AI tool, and keep the strategic decisions human.

Next in the program: Part 2, AI-Powered User Research and Validation.

Who this course is for
Aspiring product managers who want a practical, step-by-step way to decide what to build
Designers who want product management skills
Marketers moving into product roles
Founders deciding what their first product should be
Anyone who wants to make product decisions faster with AI, without skipping the fundamentals

https://rapidgator.net/file/b72ed6dfd85ca9e26cd776c52a1df34d/AI-Powered_Product_Discovery_and_Strategy.part3.rar.html
https://rapidgator.net/file/d8d96bee5d15647457df17124c37f566/AI-Powered_Product_Discovery_and_Strategy.part2.rar.html
https://rapidgator.net/file/dba81c13220147eb66f98d9110d5f66c/AI-Powered_Product_Discovery_and_Strategy.part1.rar.html