Overview
The AI Product Discovery Framework is a structured playbook for product managers to run product discovery using AI tools across a full lifecycle. It provides a 5-phase process, three real case studies, and reusable prompts to help teams move from problem framing to roadmap validation in days instead of weeks. The framework is built from three real-world engagements—not hypothetical examples—and includes documented outputs from actual products, constraints, and stakeholders. It aims to replace vague discovery processes with a repeatable, defensible method that integrates AI tools like Perplexity and NotebookLM.
Application scenarios
Problem framing
Use the framework to define the real problem before diving into research or data collection.
Market research
Leverage AI tools to dramatically reduce the time spent investigating markets and identifying what to ignore.
Competitive benchmarking
Extract mechanisms, patterns, and strategic positioning from competitors, going beyond simple feature list comparisons.
Hypothesis testing
Separate assumptions from evidence and structure clear, testable hypotheses before building any product features.
Roadmap validation
Turn discovery outputs into a prioritized, defensible roadmap with measurable outcomes and validation paths.
Omnichannel retail strategy
Apply the framework to real-world cases like a 112-store tire retailer, where discovery uncovered fragmentation between product, logistics, and service operations.
Core features
5-phase discovery process
A structured approach covering Problem & Context Definition, Market Research, Competitive Benchmark, Diagnosis & Hypotheses, and Roadmap & Validation.
Real case studies
Three documented engagements from actual products, constraints, and stakeholders—not fictional scenarios.
AI tool integration
Guidance on using tools like Perplexity and NotebookLM to accelerate research and analysis.
Reusable prompts
Pre-built prompts to maintain consistency across discovery cycles and avoid scattered, generic AI outputs.
Phase-specific outputs
Clear deliverables for each phase, including what the final output should look like.
Field-tested tips
Bonus lessons, mistakes, and patterns discovered from running the process repeatedly in real-world environments.
Defensible thinking
A framework that makes your reasoning and decisions traceable and justifiable to stakeholders.
5-phase discovery process A structured approach covering Problem & Context Defin
5-phase discovery process A structured approach covering Problem & Context Definition, Market Research, Competitive Benchmark, Diagnosis & Hypotheses, and Roadmap & Validation.
Target users
The framework is designed for product managers who want to run discovery more efficiently and effectively. It also benefits product teams, UX researchers, and anyone involved in early-stage product development who struggles with vague processes, disconnected tools, or inconsistent definitions of what "good" looks like.
How to use
To use the framework, purchase the playbook from the Gumroad page at the official URL. The playbook provides step-by-step guidance for each of the five phases, including what to do, which AI tools to use, and what outputs to produce. You can apply the reusable prompts directly in AI tools like Perplexity or NotebookLM to accelerate research and analysis. For real-world application, the case studies serve as templates for structuring your own discovery engagements.
Effect review
The framework addresses a common pain point for product managers: vague discovery processes that lead to wasted time and unclear outcomes. By providing a structured, repeatable method with real case studies and AI tool integration, it offers a practical alternative to theoretical frameworks like Continuous Discovery or Double Diamond. The inclusion of field-tested tips and phase-specific outputs suggests it is grounded in actual product work, not academic theory. For PMs who already use AI tools but lack consistency, this playbook could help turn scattered prompts into a defensible discovery workflow. The $15 price point makes it accessible for individual practitioners or small teams looking to upgrade their discovery process.
Frequently asked questions
What is the AI Product Discovery Framework?
It is a structured framework by Uris for PMs that provides a 5-phase process, 3 real case studies, and reusable prompts to run product discovery from problem framing to roadmap validation in days.
Who is this framework for?
It is designed for product managers (PMs) who want to conduct efficient, AI-assisted product discovery.
What are the 5 phases of the framework?
The 5 phases are: Problem Framing, User Research, Ideation, Solution Validation, and Roadmap Validation.
Does the framework include real-world examples?
Yes, it includes 3 real case studies to illustrate how the framework is applied in practice.
How long does it take to run discovery using this framework?
The framework is designed to help you run discovery in days, not weeks or months.
Are reusable prompts included?
Yes, the framework provides reusable prompts that you can use to streamline the discovery process.
Launch URL
https://urish.gumroad.com/l/ai-discovery-playbookTags
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