Insights Dashboard
Navigate visual analytics including interview counts, completion rates, quality distributions, and participant statistics.
The insights dashboard gives you a visual overview of your study's progress and results at a glance. Instead of reading through individual interviews, you can quickly see how many responses you've collected, how the quality distribution looks, what the completion rate is, and what themes are emerging — all in one place.
What You'll Find on the Dashboard
When you navigate to a study's results page, you'll see several visual analytics components:
Interview Count & Progress
The most fundamental metric: how many interviews have been completed. You'll see:
- Total completed interviews: The number of finished conversations
- Interviews in progress: Participants who started but haven't finished
- Quality-qualified interviews: How many scored 3 or above (these count toward your billing limit)
This gives you an immediate sense of how far along your study is and whether you need to recruit more participants.
Quality Score Distribution
A visual breakdown of how your interviews scored on the 0-5 quality scale. This is typically displayed as a distribution chart showing how many interviews fell into each score range.
A healthy distribution is skewed toward the higher end — most interviews scoring 3 or above. If you see too many low-scoring interviews, it might indicate:
- Your study brief needs refinement
- Your participant targeting could be more specific
- The interview topic may not resonate with your audience
See Understanding Quality Scores for more on what drives quality.
Completion Rates
What percentage of participants who started an interview actually completed it. High completion rates suggest your interview is well-designed and engaging. Low completion rates might indicate:
- The interview is too long
- Questions aren't relevant to your participants
- Technical issues (especially for voice interviews)
- Unclear expectations about what the interview involves
Industry research from SurveyMonkey and similar platforms suggests that completion rates above 80% are considered strong for qualitative research interactions, though the exact figure varies by methodology and audience.
Participant Statistics
Aggregate data about your participants, which may include:
- Average interview duration: How long participants typically spend
- Response patterns: When participants tend to take interviews (time of day, day of week)
- Channel breakdown: How many participants used voice vs. text interviews
These statistics help you understand your audience's behavior and optimize future studies.
Emerging Themes
A high-level view of the themes identified so far across completed interviews. This is a preview of the deeper theme analysis — you can see which topics are most frequently mentioned and get a sense of the narrative forming in your data.
For detailed theme analysis, see Understanding Themes & Patterns.
How to Use the Dashboard Effectively
Monitor Study Health
Check the dashboard regularly while your study is active. It tells you whether things are going well or if adjustments are needed:
- Healthy study: Steady stream of completed interviews, quality scores mostly 3+, high completion rate
- Needs attention: Lots of started-but-not-completed interviews, quality scores trending low, or very few responses
Know When to Generate a Report
The dashboard helps you decide when you have enough data. Look for:
- Enough completed interviews (usually 5-8 minimum for meaningful patterns)
- A quality distribution that gives you confidence in the data
- Theme patterns that are starting to stabilize (the same themes appearing without many new ones emerging)
When these conditions are met, it's a good time to generate a research report.
Compare Across Studies
Over time, you'll develop a sense of what "good" looks like for your research. The dashboard for each study gives you benchmarking data:
- Is this study getting better completion rates than your last one?
- Are quality scores higher when you target a different audience?
- Does voice or text produce better results for your research topics?
These comparisons help you continuously improve your research practice.
Dashboard Metrics Explained
Here's a quick reference for the key metrics you'll encounter:
| Metric | What It Tells You | Why It Matters |
|---|---|---|
| Completed interviews | How much data you have | Determines if you have enough for reliable analysis |
| Quality-qualified | Interviews scoring 3+ | These count toward billing; they're your usable data |
| Completion rate | % of starts that finish | Indicator of interview design quality |
| Avg. quality score | Mean score across interviews | Overall data quality benchmark |
| Avg. duration | Mean interview length | Indicates engagement level |
| Theme count | Distinct themes identified | Shows breadth of topics covered |
Tips & Best Practices
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Don't obsess over individual metrics: The dashboard gives you a holistic view. A slightly lower completion rate might be fine if quality scores are high — it could mean your interview is thorough enough that only engaged participants finish.
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Use it for stakeholder updates: The dashboard provides ready-made talking points for research status updates. "We have 12 completed interviews with an average quality score of 4.1 and five clear themes emerging" is a much better update than "research is going fine."
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Check before and after study design changes: If you update your study brief or change your recruitment approach, the dashboard will show the impact. Compare metrics before and after the change to see if things improved.
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Look at the full picture: Individual metrics can be misleading in isolation. Low interview count + high quality scores might be better than high interview count + low quality scores. The dashboard is designed to show you the relationships between metrics.
Key Things to Know
- Real-time updates: The dashboard updates as new interviews are completed. You don't need to refresh manually — new data appears automatically.
- Available on all plans: The dashboard and visual analytics are accessible on every plan, including Free. Report generation is a separate feature requiring Starter or above.
- Historical data persists: Dashboard data remains available for as long as the study exists. You can come back months later and still see all your metrics.
Related Articles
- Generating Research Reports — Turn your dashboard data into a comprehensive research report
- Viewing Interview Transcripts — Dive into individual interviews from the dashboard
- Understanding Quality Scores — Learn what the quality distribution means
Frequently Asked Questions
Q: Can I export dashboard data? A: The dashboard is designed as a visual overview within Koji. For shareable data, use the report generation feature, which presents the same metrics in a stakeholder-friendly format.
Q: How often does the dashboard update? A: The dashboard reflects real-time data. As soon as an interview completes and insights are generated, the dashboard metrics update accordingly.
Q: Can I see dashboard data for past studies? A: Yes, all dashboard data persists for the lifetime of the study. You can revisit any study's dashboard at any time to review historical metrics.
Q: Is the dashboard available on the Free plan? A: Yes. The results page with visual analytics is available on all plans. Report generation is a premium feature requiring Starter or above.
Q: What if my completion rate is very low? A: A low completion rate usually signals an issue with interview design, length, or participant targeting. Review your study brief for clarity, consider shortening the interview, and ensure you're reaching the right audience.
Related Articles
Viewing Interview Transcripts
How to read, navigate, and get value from your interview transcripts in Koji.
Understanding Quality Scores
Learn how Koji evaluates interview quality on a 0-5 scale and why it matters for your research and billing.
Generating Research Reports
Create comprehensive aggregate reports across all your interviews — including summaries, themes, recommendations, and statistics.
Publishing & Sharing Reports
Make your research reports accessible to stakeholders, team members, and decision-makers.
MCP Workflow Guide for UX Researchers
How UX researchers use Koji MCP with Claude to scale qualitative research. Manage multiple studies, analyze transcripts across projects, generate themed reports, and maintain a living research repository.
AI-Generated Insights
Discover what analysis Koji automatically produces for each interview — themes, sentiment, key quotes, and findings.