LearnFork for Founders & PMs

The problem with linear chat

You're exploring whether to add a new feature to your product. You ask the AI about user demand, then pivot to technical feasibility, then pricing strategy, then competitor analysis. In a linear chat, these threads get tangled. You can't easily compare the pricing discussion with the technical constraints, or revisit the competitor analysis without scrolling through everything else.

Product decisions have many dimensions. Linear chat forces you to think about them one at a time. LearnFork lets you explore them all in parallel.

The LearnFork way

Your root conversation is the decision. Branches are the angles you explore:

• Vertical (keep chatting) — develop your main idea, refine the vision, nail down the core requirements
• Horizontal (branch) — for each dimension of the decision (market research, technical feasibility, pricing, competitors), branch off and explore it fully. Come back to the main thread with clarity.

Step by step: evaluating a feature idea

• Start a conversation: "I'm considering adding [feature] to my product. Here's the context: [describe your product and users]"
• The AI gives an initial take. Branch from that response to explore user demand: "Who would actually use this? What problem does it solve?"
• Branch again from the original response to explore technical feasibility: "What would it take to build this? What are the risks?"
• Branch a third time for competitive analysis: "Who else has this feature? How do they implement it?"
• Now you have 3 branches side by side on the canvas — demand, feasibility, competitors — all with full context of your product
• Back in the main thread, synthesize: "Based on what I've explored, should I build this?"

Other workflows

• Sprint planning — root is the sprint goal, branches explore each task's scope and trade-offs
• User interviews — root is the interview script, branches explore each insight deeper
• Go-to-market strategy — root is the launch plan, branches for messaging, channels, pricing, timeline

Tips

• Branch from the same response multiple times to explore competing angles side by side
• Use "Go deeper" when the AI gives a surface-level market analysis
• Pin key decisions and conclusions so you can review them all on the Pins page
• Select a competitor name in a response and use "Google" to verify claims
• Screenshot your decision tree to share with your team — it tells the story of your thinking process