Search Experience Discovery
As a user, I want to have a more efficient search engine and find the content faster
Project Context
Our Vision, to become the world’s #1 performance coach, is partially connected to our ability to understand the user’s needs and show the best content possible in our search results.
Happiness: Users will be able to find the most suitable content for their needs in an easy way, improving their happiness when using the product
Task Success: Users will be able to find the content that they were looking for completing the task of searching, finding, and viewing
Adoption & Retention: Users will trust that they can use our application to find solutions to their problems instead of using Google, for example.
Understanding the search engine
With the research, we broke the search engine into parts to better work with each area:
1 - Query processing - string rules
2 - Candidate retrieval - “matchness” rules
3 - Ranking - score rules
4 - Results - delivery models for different scenarios
2 - Candidate retrieval - “matchness” rules
3 - Ranking - score rules
4 - Results - delivery models for different scenarios
Delivery Models
1 - NO typing
• Recommended Content - top 3 keywords ranked based on the best users preference matches
• Search History - last 3 searches
• Search History - last 3 searches
2 - Typing
• Related Keywords - top 3 keywords ranked based on the best users preference and matching the word typed
• See all results page - entering the word/query - CTA to the results page
• See all results page - entering the word/query - CTA to the results page
3 - NO results
• Feedback to the user related to the unfounded word searched
• Search instead for - the top 3 keywords ranked based on the best users preference matches
• Search instead for - the top 3 keywords ranked based on the best users preference matches
Exploring Scenarios
Playable Prototype - Search Experience feature (no audio)
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