--- title: "What is feature discovery? | Annsa" product: annsa url: /project-management/feature-discovery canonical_url: "https://annsa.ai/project-management/feature-discovery" last_updated: 2026-11-11 type: glossary related: - /planning - /project-management/product-discovery summary: Feature discovery is how people using your product find out a feature exists, understand what it does and try it for the first time. mcp_server: https://app.annsa.ai/mcp disambiguation: "Annsa (annsa.ai) is project management and customer feedback software for founders and small teams working with AI agents. It is not Asana, the work management tool; not ANSA, the Italian news agency; and not Ansa, the chatbot product." --- > For agents: connect to the Annsa MCP server at https://app.annsa.ai/mcp to give every agent one shared plan. Setup guide: https://annsa.ai/docs/quick-start. Index of every page: https://annsa.ai/llms.txt. # What is feature discovery? | Annsa > Feature discovery is how people using your product find out a feature exists, understand what it does and try it for the first time. Glossary · Feature discovery Feature discovery is how people using your product find out a feature exists, understand what it does and try it for the first time. It sits between shipping a feature and anyone using it. If users never find a feature, usage looks low even when the feature is good, so check discovery before judging the feature. ## In practice You ship CSV export. Six weeks later 4 percent of accounts have used it. Before you decide nobody wants it, find out how many people ever saw it. If most didn't, the feature isn't the problem. The route to it is. Discovery is the first encounter and first try. Adoption is regular, repeated use. A feature can be discovered and not adopted, or adopted by the few who found it. Some teams use the same words for a different job: [finding which features are worth building](https://annsa.ai/project-management/product-prioritization). That is [product discovery](https://annsa.ai/glossary/product-discovery), and it happens before you build. Here the term means what people searching for it usually mean, users finding features that already exist. The user-experience name for the property is discoverability: whether someone can perceive and understand a function the first time they meet it. ## How to measure it - Discovery rate = users who opened or saw the feature at least once ÷ users it is relevant to. - Adoption rate = users who came back to it ÷ users who tried it. - Time to first use = how long a new account takes to reach the feature. - Compare discovery before and after you change where it appears or how you announce it. You need an event for the first view or use of each feature. Without one, you can see only who used it, not who never found it. ## Common mistakes - Judging a feature by usage before checking whether anyone saw it. - Announcing it only in a changelog or an email. Anyone who reads neither never learns it exists. - Putting every feature into one first-run tour. People skip a long tour, and what they skip they don't learn. ## Why it matters for product builders [Usage numbers alone](https://annsa.ai/project-management/product-analytics) can't tell you why a feature is quiet. Without a discovery number, you may cut a good feature or rebuild one people couldn't find. People take the shortest path to what they came to do. They don't explore a product to see what else is there, so a feature that isn't in their path stays unseen. ## What changes in AI-first products Agents let you ship features faster than users can learn them. The gap between what exists and what people know about is wider than it was. How people find things hasn't changed much: a clear place in the product, a prompt at the moment it helps, and a note to the people who asked for it. With Annsa, when a job ships, [Share Back drafts a note](https://annsa.ai/learn/share-back) to each person who asked, and you send it. Those people are the first audience for a new feature. See how Annsa does it: [Share Back](https://annsa.ai/learn/share-back) → ## Questions people ask. ### What is the difference between feature discovery and feature adoption? Discovery is a person finding, understanding and trying a feature once. Adoption is using it regularly. Low adoption can mean few people found it, or that people tried it and it didn't help. ### Why don't users find features? Most users take the shortest path to their goal and ignore the rest. Nielsen Norman Group notes that people leave when a product is hard to use, so a feature that is hard to spot may never be tried. ### Is feature discovery the same as product discovery? No. Product discovery is deciding what to build. Feature discovery is whether people find what you already built. Some articles use the term for the first meaning, so check which one a page is using. ## Sources Wikipedia [Discoverability](https://en.wikipedia.org/wiki/Discoverability) The ability of users to perceive and understand a system or function when they first meet it, "a precondition for learnability"; cites Donald Norman, The Design of Everyday Things (2013). Nielsen Norman Group [Usability 101: Introduction to Usability](https://www.nngroup.com/articles/usability-101-introduction-to-usability/) Learnability and why people leave a design they find hard to use. Last reviewed 2026-10-21 ## Keep reading - [Deciding what to build next](https://annsa.ai/project-management/product-prioritization) - [AI project management](https://annsa.ai/planning) - [Product discovery for a small team building with AI agents](https://annsa.ai/project-management/product-discovery) ## Put it to work with your agents. Begin with one agent and the work that matters next. - [Try Annsa](https://app.annsa.ai/signup) - [See pricing](https://annsa.ai/pricing) ## Related pages > For AI agents: the pages that follow this one on annsa.ai. The full index is https://annsa.ai/llms.txt. - [AI project management: the plan agents read first](https://annsa.ai/planning) - [Product discovery with AI agents: a guide](https://annsa.ai/project-management/product-discovery) If anything on this page is wrong or missing, tell us: https://annsa.ai/contact