Magazine Analytics

Magazine Analytics provides a clear overview of how your Insights Magazine is being accessed and utilized, with various charts and metrics visualizing engagement.

Visits

This chart shows the number of individual visits to your Insights Magazine over time. It helps you track the overall attention your curated research content is receiving.

Important Note: Direct visits to an Artifact via a share link (e.g., if you share an Artifact link directly in Slack) are not counted in Magazine Visits. This metric specifically tracks engagement within the Magazine interface itself.

Magazine Search

The Magazine Search chart provides insights into how your stakeholders are using the conversational AI search functionality within the Insights Magazine to find information.

• Number of searches performed: Understand the overall volume of search queries within the Magazine.

• Distribution by search type: See the breakdown between "keyword search" (traditional text-based search) and "AI search" (conversational AI search). This helps you assess the adoption and utility of the AI-powered search feature.

• Search topics: Get a high-level overview of what your teammates look for in the Magazine, helping you understand the main topics of interest and adjust the content if there are any information potentially missing. If you click any of the topics, you'll see the exact questions that were asked (but not who asked them, for privacy reasons).

Adjust chart views and date range

You can control how Magazine Analytics data appears and its scope by adjusting:

• Chart view – For each chart, choose how the data is grouped (daily, monthly, quarterly, or yearly). This changes the level of detail without removing any data.

• Overall time period – Set a date range that applies to all charts in Magazine Analytics. Data outside this range is excluded from every chart.

Use these options together to focus on the trends or details that matter most to you.

Magazine Analytics offers a clear view of how your published research is being consumed:

1. Measure stakeholder engagement: See if your stakeholders are actively browsing and searching for information within the Magazine. A high number of visits and searches indicates strong engagement.

2. Identify popular content: While not directly showing individual Artifact views within the Magazine Analytics, high overall Magazine visits and specific search queries can indirectly indicate topics of interest. For individual Artifact analytics, refer to Artifact Analytics.

3. Evaluate the effectiveness of your Magazine curation: If visits are low, it might prompt you to review the content curation, layout, or promotion strategies of your Magazine to better meet stakeholder needs.

4. Demonstrate research impact: Use visit and search data in reports to show how widely your research is being accessed and utilized by different roles and groups, supporting the value of your research efforts.

5. Optimize and personalize AI search: Use Magazine Analytics to see the balance between keyword and AI searches, indicating how stakeholders are engaging with conversational AI. Pair this with the search topics overview to spot the most common queries and tailor your AI search hints or recommended searches accordingly. For example, if many searches relate to onboarding or usability issues, you can highlight these topics or guide users toward phrasing queries that surface the most relevant insights. While you can’t see who searched for what (to protect privacy), this aggregated data helps you both improve AI adoption and align the search experience with stakeholder needs.

6. Evaluate content visibility and completeness: Review the most common search topics to identify if stakeholders are looking for information that’s hard to find in the Magazine, not clearly labeled, or missing entirely. This can help you reorganize content, adjust labels, or create new research summaries so that important insights are easier to discover without relying solely on search.