{"site":{"name":"Koji","description":"AI-native customer research platform that helps teams conduct, analyze, and synthesize customer interviews at scale.","url":"https://www.koji.so","contentTypes":["blog","documentation"],"lastUpdated":"2026-09-09T05:05:53.932Z"},"content":[{"type":"documentation","id":"d90eb49e-2e06-47c7-929b-8d934e686542","slug":"insights-dashboard","title":"Insights Dashboard","url":"https://www.koji.so/docs/insights-dashboard","summary":"The study results page in Koji is organized into three tabs: Experience (metrics, quality distribution, themes), Recruit (participant management), and Responses (individual interviews). Quality scores range from 1-5, data requires page refresh, and structured question aggregations provide scale distributions, choice frequencies, ranking averages, and yes/no charts.","content":"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.\n\n## Understanding the Results Page\n\nThere 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.\n\n## The Three Tabs\n\n### Experience Tab\n\nThe Experience tab provides the high-level metrics and analytics for your study:\n\n#### Interview Count and Progress\n\nThe most fundamental metrics: how many interviews are at each stage. You'll see:\n\n- **Completed interviews**: The number of finished conversations\n- **Partial interviews**: Participants who started but haven't finished\n- **Active interviews**: Conversations currently in progress\n- **Report-eligible interviews**: How many scored 3 or above on the [quality scale](/docs/understanding-quality-scores) — these are the interviews that will be included in your [research report](/docs/generating-research-reports)\n\nThis gives you an immediate sense of how far along your study is and whether you need to recruit more participants.\n\n#### Quality Score Distribution\n\nA 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.\n\nA 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:\n\n- Your study brief needs refinement\n- Your participant targeting could be more specific\n- The interview topic may not resonate with your audience\n\nSee [Understanding Quality Scores](/docs/understanding-quality-scores) for more on what drives quality.\n\n#### Average Duration\n\nHow long participants typically spend in interviews, displayed as average duration in seconds. This helps you understand engagement and whether your interview length is appropriate.\n\n#### Emerging Themes\n\nA 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.\n\nFor detailed theme analysis, see [Understanding Themes & Patterns](/docs/understanding-themes-patterns).\n\n### Recruit Tab\n\nThe Recruit tab helps you manage participant recruitment. It shows your interview link, respondent tracking, and tools for importing and managing participants.\n\n### Responses Tab\n\nThe 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.\n\nThis is where you go to review individual interviews and their [AI-generated insights](/docs/ai-generated-insights).\n\n## Structured Question Aggregation\n\nIf your study uses [structured questions](/docs/structured-questions-guide), the results page and reports include aggregated quantitative data:\n\n### Scale Question Aggregations\n\nFor scale questions (e.g., satisfaction ratings, NPS scores), you'll see:\n\n- **Distribution charts** showing how participants rated each item\n- **Mean, median, and mode** calculations\n- **NPS calculation** for 0-10 scales, categorizing respondents into promoters, passives, and detractors\n\n### Choice Question Aggregations\n\nFor single and multiple choice questions, you'll see:\n\n- **Bar charts** showing option frequency — how many participants selected each option\n- **Percentages** for each option\n\n### Ranking Question Aggregations\n\nFor ranking questions, you'll see:\n\n- **Average position charts** showing where each item landed across participants' rankings\n\n### Binary Question Aggregations\n\nFor yes/no questions, you'll see:\n\n- **Pie charts** showing the distribution of yes vs. no responses\n\nAll aggregation data includes traceable citations linking back to source interviews, so you can verify any data point by clicking through to the original conversation.\n\n## How to Use the Results Page Effectively\n\n### Monitor Study Health\n\nCheck the results page while your study is active. It tells you whether things are going well or if adjustments are needed:\n\n- **Healthy study**: Steady stream of completed interviews, quality scores mostly 3+, reasonable completion rate\n- **Needs attention**: Lots of started-but-not-completed interviews, quality scores trending low, or very few responses\n\n### Know When to Generate a Report\n\nThe Experience tab helps you decide when you have enough data. Look for:\n\n- Enough report-eligible interviews (usually 5-8 minimum for meaningful patterns)\n- A quality distribution that gives you confidence in the data\n- Theme patterns that are starting to stabilize (the same themes appearing without many new ones emerging)\n\nWhen these conditions are met, it's a good time to [generate a research report](/docs/generating-research-reports).\n\n### Compare Across Studies\n\nOver time, you'll develop a sense of what \"good\" looks like for your research. The results page for each study gives you benchmarking data:\n\n- Is this study getting better completion rates than your last one?\n- Are quality scores higher when you target a different audience?\n- Do structured questions improve engagement and data quality?\n\nThese comparisons help you continuously improve your research practice.\n\n## Metrics Reference\n\nHere's a quick reference for the key metrics you'll encounter:\n\n| Metric | What It Tells You | Why It Matters |\n|--------|-------------------|----------------|\n| **Completed interviews** | How much data you have | Determines if you have enough for reliable analysis |\n| **Report-eligible** | Interviews scoring 3+ | These count toward billing and are included in reports |\n| **Partial interviews** | Participants who started but didn't finish | Indicator of interview design or engagement issues |\n| **Avg. quality score** | Mean score across interviews | Overall data quality benchmark |\n| **Avg. duration** | Mean interview length in seconds | Indicates engagement level |\n| **Theme count** | Distinct themes identified | Shows breadth of topics covered |\n\n## Tips & Best Practices\n\n- **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.\n\n- **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.\"\n\n- **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.\n\n- **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.\n\n## Key Things to Know\n\n- **Refresh for updates**: New data appears when you refresh the page. The results page does not auto-update in real time.\n- **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.\n- **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.\n- **Quality scale is 1-5**: Not 0-5. Scores range from 1 (poor) to 5 (excellent). See [Understanding Quality Scores](/docs/understanding-quality-scores) for the full breakdown.\n\n## Related Articles\n\n- [Generating Research Reports](/docs/generating-research-reports) — Turn your results data into a comprehensive research report\n- [Viewing Interview Transcripts](/docs/viewing-interview-transcripts) — Dive into individual interviews from the Responses tab\n- [Understanding Quality Scores](/docs/understanding-quality-scores) — Learn what the quality distribution means\n- [Understanding Themes & Patterns](/docs/understanding-themes-patterns) — How themes are aggregated across interviews\n- [Structured Questions Guide](/docs/structured-questions-guide) — Design questions that produce rich aggregation data\n\n## Frequently Asked Questions\n\n**Q: Can I export results data?**\nA: 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.\n\n**Q: How do I see the latest data?**\nA: Refresh the page to load the most recent interviews and updated metrics. The results page does not auto-update in real time.\n\n**Q: Can I see results data for past studies?**\nA: 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.\n\n**Q: Is the results page available on the Free plan?**\nA: Yes. The results page with all analytics is available on all plans. Report generation uses credits from your balance.\n\n**Q: What if my completion rate is very low?**\nA: 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.\n\n## Further reading on the blog\n\n- [How to Analyze User Interview Data: A Complete Guide (2026)](/blog/how-to-analyze-user-interview-data) — 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\n- [Koji vs Suzy: AI Research Interviews vs Consumer Insights Panel (2026)](/blog/koji-vs-suzy-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 \n- [Research Democratization: How to Scale Insights Beyond the Research Team (2026)](/blog/research-democratization-scaling-insights-2026) — Research demand is growing faster than teams can scale. Learn how to enable non-researchers to run high-quality studies — without sacrificin\n\n<!-- further-reading:blog -->\n","category":"Reports & Analysis","lastModified":"2026-05-23T03:27:14.246029+00:00","metaTitle":"Insights Dashboard — Koji Docs","metaDescription":"Navigate Koji's visual analytics dashboard. See interview counts, quality distributions, completion rates, and emerging themes at a glance.","keywords":["insights dashboard","research analytics","interview statistics","completion rate","quality distribution","study metrics","Koji dashboard"],"aiSummary":"The study results page in Koji is organized into three tabs: Experience (metrics, quality distribution, themes), Recruit (participant management), and Responses (individual interviews). Quality scores range from 1-5, data requires page refresh, and structured question aggregations provide scale distributions, choice frequencies, ranking averages, and yes/no charts.","aiPrerequisites":["creating-your-first-study"],"aiLearningOutcomes":["Navigate the insights dashboard and understand all visual metrics","Monitor study health using completion rates and quality distributions","Know when you have enough data to generate a reliable report","Use dashboard data for stakeholder updates"],"aiDifficulty":"beginner","aiEstimatedTime":"6 min read"}],"pagination":{"total":1,"returned":1,"offset":0}}