Usage Analytics
AICamp’s Analytics dashboard helps workspace admins understand how AI is being used across the organization. From member engagement to model performance, these insights support adoption, governance, and strategic decisions.
Member Activity
Track how individual team members are using AICamp.
Metric | Description | Status |
---|---|---|
Total Chats per Member | Number of chats initiated by each user in the workspace. | ✅ Live |
New Users Added (Last 30 Days) | Number of users invited or onboarded in the last month. | Coming Soon |
Daily Active Users (DAU) | Number of unique users active per day. | Coming Soon |
Monthly Active Users (MAU) | Number of unique users active in the current month. | Coming Soon |
Agent & Prompt Usage
Understand adoption of AI Agents and Prompt Library across the company.
Metric | Description | Status |
---|---|---|
Agent Usage | Frequency of agent usage in chats. | Coming Soon |
Top Used Agents | List of the most-used agents in the workspace. | Coming Soon |
Prompt Library Usage | Track how many prompts are created, reused, and shared. | Coming Soon |
Feature-Specific Usage
Measure usage of specific AI capabilities beyond standard chat.
Metric | Description | Status |
---|---|---|
File Upload Count | How often users upload and chat with files. | Coming Soon |
Web Search Count | Number of queries sent with real-time web search. | Coming Soon |
Memory Usage Count | Tracks how many users have memory enabled. | Coming Soon |
Model & Token Usage
Track model access and BYOM (Bring Your Own Model) usage across your workspace.
Metric | Description | Status |
---|---|---|
Model Usage Breakdown | View usage per AI model (GPT-4, Claude, Gemini, etc.). | Coming Soon |
Model Toggle Activity | Audit log of which models were enabled/disabled and by whom. | Coming Soon |
Estimated Token Usage | Token-level usage (for BYOM models). | Coming Soon |
Estimated BYOM Cost | Projected API cost by model provider (OpenAI, Anthropic, etc.). | Coming Soon |
How to Access
- Go to Settings → Analytics
- Select the metric from the dropdown
- View the report for the current month
More analytics options will be added over time as AICamp expands observability for teams and ---admins.
Why Tracking Usage Metrics Matters
Understanding how your team uses AI isn’t just helpful — it’s critical for success. Here’s why:
1. Drive Adoption
Metrics help you identify which teams are actively using AICamp and who may need additional support or onboarding.
2. Optimize Cost
By tracking model usage and agent engagement, you can assign the right models to the right users and avoid unnecessary spend — especially when using BYOM.
3. Measure ROI
See which agents, prompts, and features are delivering the most value, and use data to justify continued investment in AI for your company.
4. Encourage Collaboration
Surface shared patterns (like commonly used prompts or agents) that can inspire reuse and standardization across departments.
5. Ensure Responsible AI Usage
Usage logs and visibility give Admins a governance lens — ensuring that AI is used appropriately across roles and functions.