Back

Competitive Analysis That Product Teams Actually Use

3 MINS

Competitive Analysis That Product Teams Actually Use

Competitive analysis was a large part of my work as an analyst, and it now feeds directly into how I think about roadmaps as a product manager. The two sides have taught me what makes competitive work useful and what makes it noise.

Feature lists are not strategy

The easiest competitive output to produce is a grid of features with ticks and crosses. It looks thorough. It rarely changes a decision. Two products can have the same features and win for completely different reasons: pricing, distribution, a partner ecosystem or simply being easier to buy.

Useful analysis explains why a competitor is winning or losing, not just what they ship.

Watch direction, not position

A snapshot of where a competitor is today goes stale quickly. Product, market and share trends over time say much more. Is a competitor investing in a new segment? Are they hiring for a capability they do not have yet? Direction tells a product team what to prepare for.

Connect findings to the roadmap

Competitive insight is only valuable if someone can act on it. For each finding I now ask a simple question: does this change what we build, when we build it, or how we position it? If the answer is none of these, it probably belongs in an appendix.

Keep the customer in the picture

It is easy to become obsessed with competitors and forget the people choosing between products. Customers do not compare every feature. They compare how well each option solves their problem. Talking to customers and stakeholders regularly keeps competitive work grounded in what buyers care about.

Use AI for the gathering, keep the judgement

A lot of competitive research is reading: release notes, analyst reports, public announcements. AI tools make that collection and summarising much faster. Deciding which signals matter for a specific product still needs someone who understands the market and the customer.

Background

Saurav skipped presentations and built real AI products.

Saurav Sarkar was part of the August 2026 cohort at Curious PM, alongside 24 other talented participants.