Insights Dashboard
Navigate visual analytics including interview counts, completion rates, quality distributions, and participant statistics.
The study results page gives you an overview of your study's progress and findings. 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 — organized across three tabs.
Understanding the Results Page
There is no separate "Insights Dashboard" page in Koji. Instead, your study's results are presented directly within the study view, organized into three tabs: Experience, Recruit, and Responses. Together, these tabs give you a complete picture of your study's health and findings.
The Three Tabs
Experience Tab
The Experience tab provides the high-level metrics and analytics for your study:
Interview Count and Progress
The most fundamental metrics: how many interviews are at each stage. You'll see:
- Completed interviews: The number of finished conversations
- Partial interviews: Participants who started but haven't finished
- Active interviews: Conversations currently in progress
- Report-eligible interviews: How many scored 3 or above on the quality scale — these are the interviews that will be included in your research report
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 1-5 quality scale. This is 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.
Average Duration
How long participants typically spend in interviews, displayed as average duration in seconds. This helps you understand engagement and whether your interview length is appropriate.
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.
Recruit Tab
The Recruit tab helps you manage participant recruitment. It shows your interview link, respondent tracking, and tools for importing and managing participants.
Responses Tab
The Responses tab lists all individual interviews as cards. Each card shows the participant identifier, completion date, duration, and quality score. Click any card to open the Analysis Drawer with AI-generated insights, or navigate to the full transcript page.
This is where you go to review individual interviews and their AI-generated insights.
Structured Question Aggregation
If your study uses structured questions, the results page and reports include aggregated quantitative data:
Scale Question Aggregations
For scale questions (e.g., satisfaction ratings, NPS scores), you'll see:
- Distribution charts showing how participants rated each item
- Mean, median, and mode calculations
- NPS calculation for 0-10 scales, categorizing respondents into promoters, passives, and detractors
Choice Question Aggregations
For single and multiple choice questions, you'll see:
- Bar charts showing option frequency — how many participants selected each option
- Percentages for each option
Ranking Question Aggregations
For ranking questions, you'll see:
- Average position charts showing where each item landed across participants' rankings
Binary Question Aggregations
For yes/no questions, you'll see:
- Pie charts showing the distribution of yes vs. no responses
All aggregation data includes traceable citations linking back to source interviews, so you can verify any data point by clicking through to the original conversation.
How to Use the Results Page Effectively
Monitor Study Health
Check the results page 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+, reasonable 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 Experience tab helps you decide when you have enough data. Look for:
- Enough report-eligible 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 results page 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?
- Do structured questions improve engagement and data quality?
These comparisons help you continuously improve your research practice.
Metrics Reference
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 |
| Report-eligible | Interviews scoring 3+ | These count toward billing and are included in reports |
| Partial interviews | Participants who started but didn't finish | Indicator of interview design or engagement issues |
| Avg. quality score | Mean score across interviews | Overall data quality benchmark |
| Avg. duration | Mean interview length in seconds | 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 results page 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 Experience tab 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 results page will show the impact. Compare metrics before and after the change to see if things improved.
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Refresh the page for latest data: The results page shows data as of the last page load. Refresh the page to see the latest interviews and updated metrics.
Key Things to Know
- Refresh for updates: New data appears when you refresh the page. The results page does not auto-update in real time.
- Available on all plans: The results page with all analytics is accessible on every plan, including Free. Report generation is a separate action that uses credits.
- Historical data persists: Results data remains available for as long as the study exists. You can come back months later and still see all your metrics.
- Quality scale is 1-5: Not 0-5. Scores range from 1 (poor) to 5 (excellent). See Understanding Quality Scores for the full breakdown.
Related Articles
- Generating Research Reports — Turn your results data into a comprehensive research report
- Viewing Interview Transcripts — Dive into individual interviews from the Responses tab
- Understanding Quality Scores — Learn what the quality distribution means
- Understanding Themes & Patterns — How themes are aggregated across interviews
- Structured Questions Guide — Design questions that produce rich aggregation data
Frequently Asked Questions
Q: Can I export results data? A: The results page 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. You can also use Koji's data export tools.
Q: How do I see the latest data? A: Refresh the page to load the most recent interviews and updated metrics. The results page does not auto-update in real time.
Q: Can I see results data for past studies? A: Yes, all results data persists for the lifetime of the study. You can revisit any study's results at any time to review historical metrics.
Q: Is the results page available on the Free plan? A: Yes. The results page with all analytics is available on all plans. Report generation uses credits from your balance.
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.
Further reading on the blog
- How to Analyze User Interview Data: A Complete Guide (2026) — You ran the interviews. Now what? This step-by-step guide covers how to turn raw interview data into clear, actionable insights — with and w
- Koji vs Suzy: AI Research Interviews vs Consumer Insights Panel (2026) — Suzy is a consumer insights panel built for CPG and brand teams that need fast quantitative reads from a 1MM+ proprietary audience. Koji is
- Research Democratization: How to Scale Insights Beyond the Research Team (2026) — Research demand is growing faster than teams can scale. Learn how to enable non-researchers to run high-quality studies — without sacrificin
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