The success metrics for a new search engine would depend on the specific goals of the project. However, some common metrics that could be used to measure success include: 1. Search query volume: This metric measures the number of search queries made by users on the search engine. A high volume of search queries indicates that users are finding the search engine useful and engaging. 2. Search result relevance: This metric measures the relevance of the search results returned by the search engine. A high relevance score indicates that the search engine is delivering accurate and useful results to users. 3. Click-through rate (CTR): This metric measures the percentage of users who click on a search result after conducting a search. A high CTR indicates that users are finding the search results useful and are clicking through to visit the associated website. 4. Conversion rate: This metric measures the percentage of users who take a desired action, such as making a purchase or signing up for a service, after clicking through to a website from the search engine. A high conversion rate indicates that the search engine is delivering high-quality traffic to websites. 5. User satisfaction: This metric measures the satisfaction of users with the search engine. This can be measured through surveys, feedback forms, or user testing. High user satisfaction indicates that users find the search engine easy to use, useful, and valuable. Overall, the success of a new search engine depends on its ability to deliver relevant and accurate search results to users, as well as its ability to engage and satisfy users. By measuring metrics such as search query volume, search result relevance, CTR, conversion rate, and user satisfaction, product managers can gain insight into the effectiveness of the search engine and identify areas for improvement.
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