Approach: Improve Bot Discoverability with Search and Team Scoping
1. Global Bot Search Bar
What:
- Add a persistent search input at the top of the bot directory.
- Search should match:
- Bot name
- Short description
- Tags / keywords
- Owner or team (optional enhancement)
2. Role-Based Bot Filtering
What:
- Automatically filter bots based on the user’s authenticated role, team, or department.
- Example:
- Engineering users → DevOps, CI/CD, debugging bots
- Support users → Customer insights, ticket analysis bots
- Product users → Analytics, roadmap, insights bots
Why:
- Eliminates irrelevant bots by default
- Reduces cognitive load and decision fatigue
- Reinforces “this tool is for me” feeling
3. Category-Based Bot Filtering
What:
Group bots into clear, functional categories based on their primary use case, allowing users to browse and filter bots by domain (similar to GPT Assistant categories like Marketing, DevOps, Research, etc.).
Example:
- Engineering / DevOps → CI/CD helpers, infrastructure monitoring, debugging bots
- Marketing → Content generation, campaign analysis, SEO bots
- Research → Data analysis, summarization, insight-generation bots
- Support → Ticket analysis, customer insights, response drafting bots
- Product → Analytics, roadmap insights, user feedback bots
Why:
- Improves discoverability when users don’t know the bot name
- Encourages exploration of available tools by domain
- Creates a familiar and intuitive mental model
- Scales cleanly as the number of bots increases
4. Default Views: Favorites & Recently Used
What:
- Provide quick-access sections for bots the user interacts with most, surfaced automatically above the main list.
Example:
- Favorites → Bots explicitly pinned by the user
- Recently Used → Last 5–10 bots accessed
Why:
- Reduces repeated searching for commonly used bots
- Optimizes for daily workflows, not just discovery
- Creates a personalized experience with minimal effort