With Marvin usage analytics, Admins on Enterprise plans can quantify how their team conducts and consumes research. In this article, we explain how the data is calculated and how you can use it to show the value of your team’s research.
Where do I check analytics for my team?
To access Analytics, click “More” in the bottom left menu on the home page and select “Analytics”. You’ll only see this option if you’re an Admin on an Enterprise plan.
What kind of analytics can I access?
You’ll see analytics for how your team creates and uses the following on Marvin:
Projects
Files
Insights
Ask AI
How do I choose the time range for which I need data?
Before you check analytics, define the time range for the data. This range will apply to the data for all 4 sections.
Choose between filters for 3 months, 6 months, 9 months, and 1 year. Or, you can apply a custom date range, and check analytics for up to the last 3 years.
Projects
At the top of the section, you’ll see the total number of projects created in the specified time range. Marvin will consider all projects created by Admins and Contributors.
Marvin will also create a bar graph to show you how many projects were created each month. You may see the data for each month segmented into two colours. You can use this to check the split between private and shared projects created in that month.
For all sections, you can download analytics charts as .png images.
On the chart, you’ll see a toggle “Show growth”. When you keep this on, you can see the cumulative data up to that point. Toggle it off to analyze and compare project creation between months.
Below the chart, you can see which teammates created the most projects in that range, arranged in descending order. Download the list to access this data in an Excel sheet (.xlsx file).
Files
Use the analytics in this section to see how many files were added to Marvin in the selected time range. Marvin will consider all files created or uploaded by Admins and Contributors.
At the top, you’ll see a summary of the total uploaded files, survey responses, support tickets, and videos. If someone in your team uploaded a .csv survey with hundreds of responses, Marvin will count it as one file. However, it will count all the responses while calculating the total number of survey responses. For videos/recordings, Marvin will consider all uploaded files as well as meetings recorded using the Marvin bot.
In the bar graph, you’ll see the data segmented by file type — audio, video, document, spreadsheet, presentation, PDF, image, survey, and text. You can download the chart as a .png image.
You can either view monthly data or cumulative data up to that point. Toggle on “Show growth” to view the cumulative totals.
Below the chart, you’ll see a snapshot of users who uploaded the most files, in descending order. You can download this list as an Excel sheet (.xlsx file).
Insights
At the beginning of this section, you can see how many Insights your team created during this period. Alongside, you’ll see how many of those Insights were published, or made available to everyone. All Admins, Contributors, and Notetakers, can create insights, but only Admins and Contributors can publish Insights.
In the bar graph, you’ll see data for each month, split between private, shared, and published Insights. Toggle on “Show growth” to view the cumulative data for any point.
Similar to other sections, you can see which teammates created the most Insights.
Download the chart or the Excel sheet to track and improve how Insights are shared across the team.
Ask AI
Marvin will show you the total number of Ask AI queries that users ran during that period. You can switch between monthly and cumulative data. With the snapshot below the graph, you can see which user asked the most questions. You can download the chart (.png image) and the Excel sheet (.xlsx sheet)
Teams page
To understand how often teammates use Marvin, Admins check when a user was last online from the Teams page.
You can view this data as a grid or a list to quickly scan the information.
How do I interpret this data?
With analytics, you can analyze two aspects:
How much research your team conducts on average
How often others use the research
Use the data on projects and files to answer, “How much research are we running?”.
Projects created tell you how many studies or initiatives your team kicked off.
Files uploaded show how much raw data your team collects on average (interviews, surveys, recordings, docs).
You can map this data with research needs
With Insights analytics, you can check, “Are we sharing what we learn?”
Insights show how often findings get documented and shared.
Private Insights = research captured but not visible to others
Shared/Published Insights = knowledge the whole team can learn from
A larger share of private Insights may mean valuable research isn’t reaching stakeholders. Aim to increase the split of shared and published Insights so your team’s work drives decisions across product, design, and leadership.
Data on Ask AI helps you answer, “Are people actually using research?”
An increase in queries over time may mean
Teammates trust the repository and can easily find answers
Research influences decisions
You can use this data to explore if your research is easy to surface. Or if you need to change how you deliver research. Encourage teams to use Ask AI during planning, roadmapping, and reviews.
Analytics on the Teams page help you understand adoption at the individual level.
Use this to identify power users, ask inactive teammates how you can deliver research better, and plan onboarding or training.
Download the charts or Excel files to share progress with stakeholders and clearly show the value your team delivers.