Workspace Analytics

This chart shows how many licensed team members are using Condens over time across all your workspaces. If you’re managing licenses, it’s a quick way to confirm whether all paid seats are in use and contributing to research activities. A drop in usage might indicate onboarding challenges, shifts in team focus, or simply unused capacity.

Active users can be viewed by role or user group. Additionally, you can use the filter to combine both roles and groups in a single view. For example, see how many active Contributors the Marketing group has.

If a user is member of more groups, or their role changes in the selected time frame, they will be counted once for each group or role respectively.

Here you can track how many Projects have been started. This metric can reflect the pace of research across your organization. For instance, a spike might coincide with a product launch phase, while a drop could suggest a quieter period or a shift in priorities.

You can narrow down the data by using filters. For example, you might look into how many projects were created as part of a specific Project Folder and where usability tests are used as a research method, or filter them by status to see how many are ongoing, finished, or are being prepared.

Measures the amount of raw research captured in the workspace—interviews, usability tests, and so on. This helps you assess how much data the team is collecting, which is useful for tracking activity volume and ensuring that research programs are progressing as planned. It can also surface trends in data collection over time, helping you align research efforts with team or product timelines and spot potential gaps early on.

You can again narrow it down by a number of filters, including those created within a specific Project, by specific contributors, or where specific Participants were included.

Highlights are a strong indicator that teams are engaging with raw research data. A steady flow of new Highlights means contributors are actively analayzing and tagging key moments. This is especially useful for seeing whether collected data is being meaningfully processed—not just stored—and whether the team is engaging in analysis that leads to insights worth sharing.

Using filters, you can precisely view how many Highlights was created by a team member, or for example, how many highlights are nested under a specific Tag.

This metric counts the number of Artifacts created to synthesize findings, helping you measure how raw data turns into accessible insights and supporting conversations around research value and team efficiency. If you’re aiming to increase knowledge sharing or create more reusable insights, this chart helps show how often synthesis is happening across projects.

Filter by Artifact type to view how many Reports, Affinity maps, or Personas specifically were created, or filter by Project information fields to dive deeper into Artifacts created within a specific Project, using a specific research method, or by a certain contributor.

This chart focuses on which Artifacts are being published, making it easier to assess whether insights are being made accessible to wider audiences. If few Artifacts are published despite high research activity, it may be worth checking whether teams feel confident in sharing findings or if synthesis processes need refinement.