The Adoption Dashboard gives you a comprehensive view of how your organization is discovering, consuming, and engaging with content in Spekit. From tracking top-level engagement metrics to understanding search behavior and AI Sidekick usage, this dashboard helps you make data-driven decisions about your content strategy and enablement programs.
📦 Note: The specific features and data available on this dashboard may vary based on your Spekit package and plan.
📌 Quick-Jump Topics
- 1. What is the Adoption Dashboard?
- 2. Getting Started with the Adoption Dashboard
- 3. How to Understand Overall Engagement Health
- 4. How to Identify Content That's Working and What Needs Attention
- 5. How to Find Content and Knowledge Gaps
- 6. How to Track Training and Onboarding Completion
- 7. How to Monitor AI Sidekick Effectiveness
- 8. How to Identify and Re-Engage Low Adoption Users and Teams
- 9. Suggested Alerts and Dashboard Agent Questions
1. What is the Adoption Dashboard?
The Adoption Dashboard is your hub for understanding how content is being discovered, used, and shared across your organization. Whether you're trying to prove the ROI of your content program, identify where users are struggling to find information, or track training completion — this dashboard gives you the data to act with confidence.
Why you should use the Adoption Dashboard:
- Validate Content Strategy: Track which content is highly viewed, favorited, and used as a source for AI Sidekick answers.
- Identify Knowledge Gaps: Analyze search terms and AI Sidekick questions to reveal what users are looking for but may not be finding.
- Track Adoption Progress: Monitor team and user progress through mandatory or assigned training via Topic Adoption.
- Measure AI Impact: Understand how often AI Sidekick is being used and how effective its answers are.
- Drive Accountability: View detailed activity logs for individuals and teams across all key metrics.
2. Getting Started with the Adoption Dashboard
Access Requirement: You must have Account Admin, Team Admin, or Expert-level access.
Step 1: Open the Spekit Web App. Step 2: Navigate to the Analytics tab. Step 3: Click on the Adoption Dashboard.
Filtering your data:
Setting your filters before diving into the data ensures you're looking at the right scope. The Adoption Dashboard has robust filtering options at the top of the page:
| Filter | Options |
|---|---|
| Timeframe | Any time, past X days/weeks/months/years, between dates, on or before, custom, and more |
| User Role | Any value or specific roles: Viewer, Team Admin, Expert, Account Admin |
| Topics | One or multiple topics |
| Team | One or multiple teams |
| Users | One or multiple specific users |
| Exclude | Deleted users, specific teams, specific content, or deleted content |
⚠️ Note: Search data and Knowledge Checks Completed do not filter by topic. These metrics always reflect organization-wide data regardless of topic filters applied.
💡 PRO TIP: Before any stakeholder review or reporting, set your timeframe and team filters first to ensure the data reflects the right scope. Unfiltered data can paint a misleading picture of adoption health.
3. How to Understand Overall Engagement Health
Start here when: You want a quick pulse check on how your organization is engaging with Spekit, or you need to report on overall platform adoption to leadership.
At the top of the dashboard, your KPIs give you an instant organizational snapshot:
| KPI | What It Tells You | What to Do If It's Low |
|---|---|---|
| Total Views | How much content is being consumed | Check Team Activity and User Activity tables to identify who isn't engaging |
| Total Searches | How actively users are looking for information | Low searches may indicate users aren't aware Spekit can answer their questions — consider a re-engagement campaign |
| Total External Shares | How often content is being shared externally via Deal Rooms or trackable links | Review Content Engagement to identify which content is being shared and promote high-performing pieces |
| Knowledge Checks Completed | How many users are completing assessments | Cross-reference with User-Level Topic Adoption to identify incomplete training |
| Total Sidekick Chats | How heavily AI Sidekick is being used | Low usage may indicate users don't know how to use Sidekick — consider additional training or awareness campaigns |
| Total Reactions | How users feel about content quality | High negative reactions require immediate attention — check Recent Reactions table |
| Total Content Marked as Read | Formal content acknowledgment and completion | Low numbers on required content suggest training programs need follow-up |
Digging deeper into engagement trends:
Once you've reviewed your KPIs, use the All User Activity stacked bar graph to understand how engagement is trending over time. You can view this data daily, weekly, monthly, or quarterly — look for dips or spikes and cross-reference them with content launches, training rollouts, or team changes.
The User Engagement line graph shows unique users engaging across views, searches, reactions, shares, and Sidekick interactions. If your total views are high but unique users are low, a small group of power users may be driving most of the activity — a signal that broader adoption work is needed.
The User Insights section provides AI-generated trend signals about engagement patterns across recent months.
🤖 Note: User Insights are AI-generated. We recommend verifying key trends against the raw data tables before making decisions based on them.
4. How to Identify Content That's Working and What Needs Attention
Start here when: You want to understand which content is driving the most value and which content needs to be updated, highlighted, or retired.
Step 1: Check the Content Engagement table
This is your most granular view of individual content performance. For each piece of content you can see:
- Views, Internal and External Shares, Favorites, Reactions
- AI Sidekick Responses (how often AI surfaces this content as an answer)
- Last Edited Date
What to look for:
| Pattern | What It Means | Action |
|---|---|---|
| High views + high favorites + recent edit date | Top performing, trusted content | Promote it — make sure it's in the right topics and linked to relevant workflows |
| High views + old edit date | Popular but potentially stale | Prioritize for an immediate update — this content is influencing a lot of users |
| High AI Sidekick responses + low favorites/reactions | AI is using it as a source but users aren't engaging directly | Review the content quality — if AI is surfacing it frequently, it needs to be accurate and trustworthy |
| Low views + low AI responses + old edit date | Underutilized and potentially obsolete | Consider updating, hiding, or deleting to reduce content clutter |
Step 2: Review Topic Engagement
The Topic Engagement table shows you how entire topics are performing, including the number of AI Sidekick sources pulled from each topic. Use this to identify which topics are driving the most value and which may need a content audit.
Step 3: Check Content Highlights
The Content Highlights table surfaces your highest-performing content based on AI engagement, including click-through rate, AI responses, and AI clicks.
🤖 Note: Content Highlights and Click-Through Rate are AI-generated. Click-Through Rate is calculated only for content with AI responses and AI clicks greater than zero. Verify insights against the raw Content Engagement table before acting on them.
5. How to Find Content and Knowledge Gaps
Start here when: Users are complaining they can't find information, AI Sidekick isn't giving good answers, or you want to proactively identify missing content before it becomes a problem.
This is one of the highest-value use cases for the Adoption Dashboard. The Recent Content Discovery Activity section is where you'll spend most of your time here.
Step 1: Review Most Common Searches
The Most Common Searches table shows you exactly what users are looking for. High-volume search terms represent high user demand — if that topic lacks authoritative content, it's a gap.
Step 2: Cross-reference with AI Sidekick performance
Pull up the Recent Sidekick Chats table and look for:
| Signal | What It Means | Action |
|---|---|---|
| Question with negative feedback | AI gave an unhelpful or inaccurate answer | Review and update the source content immediately |
| Question with no source provided | AI couldn't find relevant content to answer from | Create new content to fill the gap |
| High volume questions on the same topic | A pattern of unmet need | Prioritize creating or expanding content in that area |
Step 3: Check Top AI Sidekick Themes
The Top AI Sidekick Themes table gives you an AI-generated overview of the most common categories of questions being asked.
🤖 Note: Top AI Sidekick Themes are AI-generated. Verify accuracy against the raw Sidekick chat data before using these themes to drive content decisions.
Step 4: Use the Recent Searches filter
You can filter the Recent Content Discovery Activity section by keyword using equals, contains, starts with, ends with, matches user attributes, and more — with AND/OR logic. Use this to investigate specific topics or search patterns in detail.
✅ Content Gap Best Practices
| ✅ Do This! | ❌ Avoid This! |
|---|---|
| Review Most Common Searches weekly and create content for the top unanswered queries. | Waiting for users to report gaps — search data surfaces them proactively. |
| Cross-reference high-volume searches with AI Sidekick source usage — if AI can't answer it, neither can your users. | Focusing only on content with negative reactions — gaps often show up in search data before users react. |
| Use the Dashboard Agent to ask "What are the most common searches with no AI Sidekick source usage?" for a fast gap analysis. | Creating content without checking if a similar topic already exists — duplicate content creates confusion. |
6. How to Track Training and Onboarding Completion
Start here when: You've rolled out a new training program, onboarding curriculum, or compliance content and need to confirm users are completing it.
Step 1: Filter the dashboard by topic
At the top of the dashboard, select the specific topic you want to track (e.g., New Hire Onboarding, Q1 Compliance Training).
Step 2: Review the User-Level Topic Adoption table
This table tracks every user's progress through the selected topic:
| Column | What It Tells You |
|---|---|
| Total Speks in Topic | The full scope of content in this training |
| Total Speks Marked as Read | How much content the user has formally completed |
| Total Speks Viewed | How much content the user has seen but not formally acknowledged |
| Topic Progress (%) | Overall completion percentage for that user |
| Mastered | Whether the user has marked all content in the topic as read |
Step 3: Check Knowledge Check performance
Review the Recent Knowledge Checks Completed table to see assessment scores by user. Low percent correct scores are a signal that users may have completed the content without fully understanding it — consider follow-up coaching or updated content.
Step 4: Validate content is reaching users
If Topic Adoption is low, check the Where Content is Being Accessed pie chart to confirm the content is visible in the right channels. If users aren't seeing the content in their workflow, it may be a topic permissions or linking issue.
✅ Training Tracking Best Practices
| ✅ Do This! | ❌ Avoid This! |
|---|---|
| Filter by topic before reviewing training data — unfiltered data makes it hard to isolate a specific program. | Relying on Total Content Marked as Read KPI alone — it doesn't tell you which specific training users completed. |
| Check both Topic Progress % and Knowledge Check scores together for a full picture of comprehension vs. completion. | Assuming high Topic Progress means the training was effective — users can mark content as read without retaining it. |
| Set a monthly scheduled alert for User-Level Topic Adoption on active training programs so you always know where users stand. | Waiting until the end of a training period to check completion — catch stragglers early so there's time to follow up. |
7. How to Monitor AI Sidekick Effectiveness
Start here when: You want to ensure AI Sidekick is giving accurate, helpful answers and that the content powering it is trustworthy.
Step 1: Review Recent Sidekick Chats
The Recent Sidekick Chats table is your most detailed view of AI Sidekick performance. For each interaction you can see the question asked, the response given, the source content used, and whether the user provided feedback.
Step 2: Prioritize negative feedback
Filter the Recent Sidekick Chats table to surface interactions with negative feedback first. For each one:
- Read the question and response in full
- Check whether the source content is accurate and up to date
- Update the source content immediately if needed
Step 3: Monitor source quality
Review the Content Highlights table to see which content AI Sidekick is referencing most frequently. High AI response counts on a piece of content mean it has significant influence on what users learn — it must be accurate and current.
✅ AI Sidekick Monitoring Best Practices
| ✅ Do This! | ❌ Avoid This! |
|---|---|
| Review Recent Sidekick Chats weekly — negative feedback is a direct signal that source content needs attention. | Waiting for users to report bad AI answers — most users won't leave feedback, so proactive monitoring is essential. |
| Cross-reference Content Highlights with Last Edited Date in the Content Engagement table — frequently sourced but stale content is a high risk. | Assuming AI Sidekick will improve on its own — the quality of its answers is directly tied to the quality of your content. |
| Set an alert on Recent Sidekick Chats for "Results have changed" so you're notified when new negative feedback comes in. | Only reviewing AI themes — themes give you a broad picture but individual chat reviews reveal the real issues. |
8. How to Identify and Re-Engage Low Adoption Users and Teams
Start here when: Adoption feels stagnant, leadership is asking why certain teams aren't using Spekit, or you want to proactively prevent churn before it becomes a problem.
Step 1: Sort User Activity and Team Activity tables
Sort both tables by the lowest number of views, searches, and chats to immediately surface who isn't engaging. These are your re-engagement targets.
Step 2: Look for patterns
Once you've identified low-engagement users or teams, ask:
- Are they only in the All Spekit Users default group? (Cross-reference with the Activation Dashboard)
- Do they have relevant content in their topics?
- Is an Expert assigned to their team?
- Are they accessing content in the right channel? (Check Where Content is Being Accessed)
Step 3: Take action
| Scenario | Suggested Action |
|---|---|
| User has zero views and zero searches | Check Activation Dashboard — they may not have fully onboarded yet |
| Team has low views but high searches | Users are looking but not finding — audit topic content for that team |
| User views content but never marks as read | Send a reminder about the Mark as Read feature or check if required content is clearly flagged |
| Team has low external shares | Review whether Deal Room content is relevant and up to date for that team |
✅ Re-Engagement Best Practices
| ✅ Do This! | ❌ Avoid This! |
|---|---|
| Cross-reference low adoption in the Adoption Dashboard with activation data in the Activation Dashboard for a full picture. | Reaching out to all low-engagement users the same way — tailor your approach based on where they are in their journey. |
| Use the Dashboard Agent to ask "Which teams have had zero searches in the last 30 days?" for a fast re-engagement list. | Only looking at views — users who search but don't find anything are also a re-engagement priority. |
| Set a monthly alert on Team Activity for "Results have changed" to track whether re-engagement efforts are working. | Treating low adoption as a content problem only — sometimes it's an awareness or onboarding issue. |
9. Suggested Alerts and Dashboard Agent Questions
📬 Suggested Scheduled Alerts
Use the ellipsis menu (...) on any table or the share icon at the bottom of the dashboard to set up alerts and scheduled deliveries. Here are some high-impact alerts to set up for the Adoption Dashboard:
| Alert Idea | Condition | Table |
|---|---|---|
| Weekly content engagement summary for leadership | Scheduled – Weekly | Entire Adoption Dashboard |
| New negative reactions on content | Results have changed | Recent Reactions |
| New negative AI Sidekick feedback | Results have changed | Recent Sidekick Chats |
| High volume searches with no content coverage | Any results returned | Most Common Searches |
| Teams with low or zero engagement | Results have changed | Team Activity |
| Users with low or zero engagement | Results have changed | User Activity |
| Monthly topic adoption summary for active training programs | Scheduled – Monthly | User-Level Topic Adoption |
| Knowledge check completion rates | Results have changed | Recent Knowledge Checks Completed |
🤖 Suggested Dashboard Agent Questions
Use the ✨ Dashboard Agent to dig deeper into your adoption data. Here are some questions to get you started:
- "Which content has the most negative reactions this month?"
- "What are the most common search terms across the organization?"
- "Which teams have the lowest engagement scores?"
- "Which content is being used most by AI Sidekick as a source?"
- "Which users have zero views in the last 30 days?"
- "What topics have the lowest completion rates?"
- "Which content has the highest number of external shares?"
- "Are there any search terms with high volume but low AI Sidekick source usage?"
- "Which knowledge checks have the lowest percent correct scores?"
- "What are the top AI Sidekick themes this month?"
- "Which teams have had zero searches in the last 30 days?"
- "Which content is frequently sourced by AI Sidekick but hasn't been updated in over a year?"