The Adoption Dashboard provides Account Admins, Team Admins, and Experts with granular, actionable insights into how content is consumed, shared, and utilized by AI Sidekick across the organization.
What is the Adoption Dashboard?
The Adoption Dashboard has been updated to be your comprehensive hub for understanding how content is being discovered, used, and shared by your organization. It provides comprehensive, detailed analytics into content engagement at both the team and user levels.
This detailed view helps Account Admins and Team Admins:
- Track how effectively their content is being utilized and leveraged.
- Identify successful content strategies and areas for improvement.
- Maximize content effectiveness, focusing on user needs and search intent.
NOTE: The specific features and data available on the dashboard may vary based on your Spekit package and plan.
Why you should use the Adoption Dashboard?
The Adoption Dashboard is crucial for maximizing the effectiveness of your enablement content and resources. By offering detailed, segmented insights, it empowers you to make data-driven decisions that enhance productivity and content ROI:
- Validate Content Strategy: Track which content is highly viewed, favorited, and used as a source for AI answers.
- Identify Knowledge Gaps: Analyze search terms and AI Sidekick questions to reveal what users are looking for but may not be easily finding.
- Track Adoption Progress: Monitor team and user progress through mandatory or assigned training via the Topic Adoption chart.
- Measure AI Impact: Understand how often AI Sidekick is being used and the effectiveness of the answers it provides.
- Drive Accountability: View detailed activity logs for individuals and teams across all key metrics (views, shares, chats).
How to Set Filters and Review Overall User Adoption
This section shows you how to define the scope of your report and reviews the top-level engagement numbers, providing an instant organizational snapshot of overall platform activity.
1. How to Filter the Data
Use the filter panel at the top to define the scope of your analysis, ensuring the data you see is relevant to a specific team, time period, or initiative.
| Filter Category | How to Use It |
|---|---|
| Timeframe | Select a Date Range (e.g., Last 30 Days) to set the reporting period. |
| Audience | Filter by specific Teams or User Roles. Use the exclusion options to filter out deleted content or inactive users. |
| Content Scope | Select specific Topics to focus the entire dashboard (e.g., filter by "New Hire Onboarding"). |
2. How to Review Top-Level Metrics
These Key Performance Indicators (KPIs) at the top of the dashboard provide an instant, organizational-wide snapshot of total engagement volume.
- Total Number of Views and Total Searches
- Total External Shares: Total content pieces shared via Deal Rooms or trackable links.
- Total Sidekick Chats: Total queries sent to the AI Sidekick.
- Total Content Marked as Read: Total times content was formally acknowledged as consumed.
3. How to Review Overall Usage Analytics
Analyze who is engaging, where they're accessing content, and compare activity levels between users and teams.
- Overall User Activity & User Engagement (Unique): View the volume of all events, and see the number of distinct users who performed each activity.
- Where Content is Being Accessed: Identify the most effective delivery channels (Web App, Sidekick, Embedded Speks, Slack, Outlook).
- User Activity & Team Activity: Review detailed tables to rank individual users and teams by metrics like Views, Searches, Shares, and Chats.
How to Review Content Adoption Analytics
This section helps you evaluate the performance of your Topics and individual content pieces, as well as track user progress through structured learning and training materials.
1. How to Measure Topic and Content Effectiveness
Evaluate which content is resonating with users and which is considered a reliable source of truth, including by the AI.
| Table Name | How to Interpret the Data | Key Metric to Check |
|---|---|---|
| Total Topic Engagement | Use the Reactions and Sidekick Source Usage to find topics that are both popular and reliable. | Total Sidekick Source Usage (Content used to answer AI questions). |
| Content Engagement | Review Total Favorites to identify content users find most valuable. Check External Shares to find top sales/marketing collateral. | Total Favorites and External Shares. |
2. How to Track Learning and Onboarding Progress (Topic Adoption)
Monitor formal completion rates for structured learning programs like onboarding or compliance training at the individual user level.
The Topic Adoption table tracks: Total Master/Read Content, Viewed Content, and Topic Progress () for all users against a selected Topic.
3. How to Review Recent Activity
Review real-time feeds of content acknowledgment, assessment scores, and content sharing to spot-check recent activity and sentiment.
- Recently Viewed Content and Recently Marked as Read Content: Track consumption trends and formal completion.
- Recent Reactions: Immediately identify what content is receiving positive or negative feedback.
- Recent Knowledge Checks Completed: Monitor user performance on quizzes (Percent Correct).
- Recent Shared Content & Insert into Email (Outlook Usage): Track content being actively distributed by users.
How to Review Search Usage Analytics (Content Discovery)
This section helps you understand what users are looking for and whether the AI is meeting their needs, making it the most valuable source for identifying content gaps.
1. How to Analyze Search Behavior
Use search data to identify high-demand topics and potential gaps where content either doesn't exist or isn't easily found.
- Most Common Searches: Indicates high user demand; if this topic lacks authoritative content, it's a content gap.
- Recent Searches: Provides an immediate view of current questions and business focus areas.
2. How to Analyze AI Sidekick Interactions
Use the Recent Sidekick Chats table to govern AI usage by verifying answer quality, user satisfaction, and source material integrity.
| Metric | How to Measure AI Effectiveness |
|---|---|
| Question/Response | Read the full query and answer for context and accuracy. |
| Feedback (New!) | Check the Positive/Negative/NA rating to see if the user was satisfied with the answer. Negative feedback requires follow-up. |
| Source Provided (New!) | Confirm that the AI is pulling from trusted content. |
| Selected Source Link/Name | See if users had to click on the source link, which may indicate the AI's direct answer was insufficient. |
How to Translate Data into Action: Common Use Cases
Use this section to connect the detailed metrics from the dashboard directly to actionable business outcomes, driving content strategy and enablement decisions.
1. How to Identify Content Gaps
Pinpoint critical resources that are missing or hard to find by cross-referencing activity.
- Action: Look for high-volume Most Common Searches that have low Total Sidekick Source
- Usage. This combination means users are looking for information that the system cannot reliably answer.
2. How to Validate Training Effectiveness
Use learning metrics to confirm if a training rollout was successful or if follow-up is required.
- Action: Filter the dashboard by the training Topic. If Topic Adoption is low, check Where
- Content is Being Accessed to see if the content is missing from the users' workflow.
3. How to Target Low-Engagement Users
Proactively identify teams or individuals who are not adopting Spekit or its content.
- Action: Sort the Team Activity or User Activity tables by the lowest number of views, searches, and chats. Target these specific users for direct follow-up or re-onboarding.