The problem

1. Content Moderation Concerns: Some users are posting inappropriate or non-fitness-related content.
2. Engagement Drop-off: Users report that they don’t see enough new, engaging posts on their feed, leading to reduced app usage.

Analysis: Key challenges identified

1. Users don’t see not enough new posts: Either the algorithm is not showing enough good new posts, or people not posting enough.
2. Users don’t see engaging posts in their feed: The good quality of posts are not reaching out to the audience. Quality of the posts are not at all good, not engaging.
3. Some users are posting not relevant content: Guide to good content is not there, also if that is the case algorithm not deprioritizing irrelevant content.
4. Some users are posting inappropriate content: Challenge to find inspiration of appropriate content, Algo is not downgrading inappropriate content, no penalty for inappropriate content.

Analysis: Measurable goals to address the challenges

1. Reduce flagged inappropriate posts by 50% within 3 months.
2. Increase daily active users (DAU) on the social feature by 20%.
3. Achieve a 30% increase in user retention through improved feed engagement.
4. Increase in post engagement by measure of Like, Kudos, Post view time etc. by 20% each month.
5. Increase in feed scroll depth by 25%

Solution proposal

1. Content Moderation: Automated moderation tools using AI/ML. Utilizing present flagging system for posts.
2. Content Moderation: Manual content checking to understand new contents. Dedicated content moderation team.
3. Community guidelines: Community guideline with great UX guiding what as an user you should share. Guide to new post with with guided UX.
4. User reporting: Users can report a post easily. Action can be taken quickly for a reported post by moderators.
5. Personalized feed based on user activity, and preference(type of workout preference etc.).