Inviting colleagues for collaboration
To collaborate with colleagues or clients on Condens invite them with thebutton on the lower left in the tool. Enter their email address and they will receive an invitation.
Starting a project
Selectin the menu on the left and choose . A project consists of four parts:
The overview page is where you add a title, project information and the description
is where you enter raw data and notes from your research activities
allows you to analyze data and identify patterns
Theis where you summarize findings before sharing them with others
Entering research data
In Condens you enter research data and feedback in Sessions. If you conduct interviews, for example, each interview is one Session.
In a Session, you can enter notes yourself or paste from another tool. Condens is a collaborative tool, so you can take notes with others in real-time.
To upload files like audio and video recordings, images or PDFs just drop them to the respective Session or use integrations to import data. If you uploaded an audio or video file Condens can automatically generate a transcript from it.
With Session Information you can store metadata about that Session like what type of interview it was or the URL to a prototype you are testing. Use the information field to link a research participant to the Session. This lets you build a database of participants and analyze data based on user segments.
Structure data with tags
The first step is to categorize evidence using tags. Mark some text from the transcript or your notes and assign a tag to create a highlight. Highlights are pieces of evidence and the basis for analysis and sharing in Condens.
From any screen, you can click on the right to open the Conclusion. This is the space where you document your findings. Pull highlights to the Conclusion with drag and drop. Placing multiple highlights on top of each other will create a cluster - similar to affinity diagramming with post-its on a wall.
The screen shows all highlights across Sessions. Here is where you can analyze the data in a structured manner. Filter and sorting functionality helps to see patterns more clearly. Again, open the Conclusion on the right via to pull highlights into it and build clusters.
The final part of your project again shows the
With you create a link that gives your audience access to the findings in the Conclusion - no user account required. The shared Conclusion contains all data and evidence that you included but doesn’t allow to jump back to the raw data (i.e. Sessions and Synthesis) and is read-only.