Research is the discipline of systematically uncovering data, patterns, and insights to reduce uncertainty and enable better product decisions.

It draws from five knowledge domains:

• User : behaviors, needs, jobs-to-be-done, pain intensity
• Market : competitive dynamics, positioning, pricing benchmarks
• Technology : feasibility, emerging capabilities, build-vs-buy tradeoffs
• Organization : internal capabilities, constraints, go-to-market readiness
• Domain : industry-specific logic, workflows

Good research is distinguished from general knowledge by its ability to uncover unconventional truths, insights that reveal how things actually work, not how they're supposed to work.

An unconventional truth has three qualities:

1. Hard - it's grounded in observed behavior and data, not reported preference. Raw data, real actions, minimal interpretation. High confidence because it's close to reality.
2. Specific - it stands on its own. The link to your problem is direct and self-evident, requiring no interpretive leap.
3. Unconventional - it either contradicts the official narrative or is absent from it entirely.

Studies, experts, and best practices describe ideal states. But people's actual behaviors often diverge completely from what they claim or believe they do. This gap between intention and action is where systems break — and where real opportunities hide.

Sometimes the truth contradicts what everyone assumes. Other times, it lives in a blind spot, a behavior so mundane or emergent that even seasoned experts can't frame it. They've been in the industry for twenty years, they've seen every cycle, yet this thing doesn't fit their mental models. They notice it, maybe, but they don't see the opportunity underneath. It's not that they're wrong, it's that their expertise was built for a different problem shape.

Unconventional truths are often natural behaviors hiding in plain sight, waiting for someone to take them seriously.

In a Venture Builder, research isn't a phase, it's continuous. The skill is knowing when to go deep versus when to ship and learn.

Our Product iteration framework (Product 1-pagers → Product bets → Product iteration) embeds this: every bet is essentially a research hypothesis with a built-in learning mechanism.