From Data to Insights
This page explains the key steps and best practices for this feature in Wejot.
In Wejot, an insight is not a single statistical result. It is a goal-driven, iterative analysis process.
In this process, an AI Agent works around your research objectives, breaks the work into tasks, runs multiple analyses, and organizes the results into a deliverable insight report.
In real research, insights typically come from a combination of actions, such as:
- Review overall distributions to detect anomalies or trends
- Split groups to validate whether differences hold
- Analyze relationships among key variables
- Go back to raw data to confirm reliability
These steps are not strictly linear—they often loop back and iterate.
When you ask a more comprehensive question, Wejot enters Agent execution mode.
In this mode, the Agent will:
- Understand your end goal (what conclusion you want)
- Break it down into multiple analysis subtasks
- Execute tasks sequentially or in parallel
- Consolidate outputs into interpretable conclusions
What you see is always output directly relevant to the research goal.
Within one insight run, the Agent may perform multiple analyses, such as:
- Descriptive statistics and distributions
- Group splits and significance testing
- Deep dives into key questions or metrics
- Topic extraction for text/open-ended questions
These analyses cross-reference each other instead of staying isolated.
After analysis, Wejot helps you organize outputs into:
- Clear conclusion bullets
- Data evidence supporting each conclusion
- Follow-up hypotheses or risk notes to validate
Insights are not “answers from the system”. They are data-grounded judgments that can be traced and discussed.
When you need to share or archive results, you can generate an insight report. Typical content includes:
- Research background and goals
- Sample and data notes
- Key findings and conclusions
- Necessary charts and explanatory text
Insight reports can be exported as:
- PDF: formal reporting and archiving
- Word: further editing and supplementation
- PPT: meetings and external presentations
You can adjust report structure and emphasis before generating—without manually rebuilding the material.
You can think of “From Data to Insights” as:
Turning scattered analysis outputs into research conclusions you can actually use.
It is often the last step in a study—and the step that most directly creates value.