Design a feature for Youtube to increase engagement (specifically repeat visits) for sports/fitness enthusiasts.
- Carlos Dubois
Step 1: Describe the product
Youtube is a video streaming service that provides video streaming content around a variety of subject matter.
- What does it do? Provide video content
- Who uses it? Huge customer segment but we’re looking at fitness/sports enthusiasts
- How do they use it? User lands on youtube.com –> log into account –> Search using keywords –> See a list of search results –> Pick video to watch and watch the video –> X out of the journey once video is completed or search for other video content.
Step 2: Clarify Scope of the problem.
- Are we focusing on a specific platform for this – Desktop, TV, Mobile? Lets assume this is mobile app focused.
- Are we focusing on a specific region for this? Lets assume the US and any English language based content.
- Are we just looking at sports/fitness enthusiasts? Yes
- Definition of sports/fitness enthusiasts – We’ll delve into this subgrouping in Step 4.
Step 3: Choose a goal
- The goal is already defined in the question – Increase engagement for content relevant to sports and fitness enthusiasts
- Engagement can mean:
- Repeat visits (Preferred metric)
- Video views
Step 4: Identify Key User groups
Since these are enthusiasts already, I am making the assumption that they’re
| Sport/Fitness Enthusiasts | – Active – Occasional – Target segment – Casual |
I am choosing occassional users as my target segment as I believe they are already watching some videos and have shown interest in this category. By increasing the relevancy of content presented and other changes we can expand this segment.
Note: User grouping could use more finese here. Would love feedback on this. One thing that tripped me off was becuase they are already “enthusiasts” would the frequency categorization work
Step 5: Use cases and pain points
User lands on youtube.com –> log into account –> Search using keywords –> See a list of search results –> Pick video to watch and watch the video –> X out of the journey once video is completed or search for other video content.
| Pain Point | Impact | Effort | Priority | |
| a. | Customers may not be finding what they’re looking for. For e.g. since search results are usually sorted by views, for something like fitness levels, it can be hard to guage what level is relevant for an instruction video. | H | H | Priortized |
| b. | Trouble finding video again – Customer may have viewed a video before but cannot recall which one it is | M | L | Priortized |
| c. | May realize half way through a video that the content is not relevant or applicable to them | M | M | Priortized |
| d. | For certain sports content, live versions may not be available. | H | H | |
| f. | Certain applicable fitness or sports content might just be a teaser and leading users to a paid version off of Youtube | H | H |
Step 6: Solutions to priortized pain points
| Pain points | Possible Solutions |
| a.) and c.) | – Improve video metadata by improving video descriptions. – Community ranking categories on videos other than likes/dislikes for e.g. Fitness level difficulty, Sports analysis – Using an opt in survey at the end of a video to collect data and understand if the presented video was helpful or relevant. Use this data to improve the algorithm to present personalized recommendations |
| b.) | – Implement favorites and playlists (this already exists) – Enhance it 1 step further by letting users add descriptions to watched videos (notes, tags). This also helps bolster search params from Step a.) – Feature previously watched videos and contextual video recs based on what was watched previously to encourage repeat views – Create gamification to reward watching videos – for e.g. earn badges when you have completed watching a workout video per day for 10 days (10 day challenge) |
Step 7: Evaluate the solutions
- Community Ranking and feedback surveys
- Customizable video descriptions and tagging
- Algorithmic reccos (Long term, not priortized for now)
Step 8: Metrics for measuring performance
- Repeat views
- All Time video views
- Monthly video views
- Viewer data driven metadata clicks
Step 9: Summary
Our goal is to increase engagement for sports and fitness enthusiasts on Youtube. I focused on the the occasional user group and walked through their pain points and priortized the following: content relevancy and recall. Based on this I am proposing a community based ranking system for fitness/sports content using surveys. We’ll track this mainly by repeat views but also track other metrics to measure the effectiveness of these changes.

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