OKR template to enhance the effectiveness of search functionality through optimal weighting
This OKR aims to specifically improve the effectiveness of the search functionality via optimal weighting. The focus is on enhancing the user experience by increasing satisfaction levels concerning search operations.
One objective is to dedicate efforts towards the improvement of users' interaction with the search feature, aiming to boost the satisfaction scores by 20%. This will involve conducting surveys to understand current issues, promptly running tests and rectifications and making user interface improvements based on feedback.
Moreover, this OKR highlights the importance of reducing irrelevant search results. Placing emphasis on honing the search markers, the goal is to reduce unnecessary search results by a quarter. Multiple initiatives are planned, including reviewing current markers, implementing a new system, and refining these markers overtime.
Lastly, the OKR focuses on increasing search precision. By implementing improved search algorithms, the relative precision of results aims to be increased by 30%. The steps for achieving this include researching suitable algorithms, conducting tests and analysis for necessary adjustments, and applying the new optimized algorithm.
One objective is to dedicate efforts towards the improvement of users' interaction with the search feature, aiming to boost the satisfaction scores by 20%. This will involve conducting surveys to understand current issues, promptly running tests and rectifications and making user interface improvements based on feedback.
Moreover, this OKR highlights the importance of reducing irrelevant search results. Placing emphasis on honing the search markers, the goal is to reduce unnecessary search results by a quarter. Multiple initiatives are planned, including reviewing current markers, implementing a new system, and refining these markers overtime.
Lastly, the OKR focuses on increasing search precision. By implementing improved search algorithms, the relative precision of results aims to be increased by 30%. The steps for achieving this include researching suitable algorithms, conducting tests and analysis for necessary adjustments, and applying the new optimized algorithm.
Enhance the effectiveness of search functionality through optimal weighting
Improve user satisfaction scores related to search experience by 20%
Initiate timely testing and rectification procedures- Conduct surveys to identify issues in current search experience
- Implement UI enhancements based on survey feedback
- Reduce irrelevant search results by 25% through refined weighting markers
- Review current weighting markers in search algorithm
- Implement and test new marker system
- Develop new refined weighting marker system
- Increase relative search precision by 30% using improved weighting algorithms
- Research available algorithms for search precision improvement
- Analyze test results and make necessary adjustments
- Implement and test new weighting algorithm on existing search system