Making Data-Driven Decisions for Dashboard Insights and User Behavior
I wanted to know how to make the best decision after creating a dashboard, how to correct our product, and how to know about app and user behaviour
I wanted to know how to make the best decision after creating a dashboard, how to correct our product, and how to know about app and user behaviour
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To make the best decisions after creating a dashboard in Mixpanel, you should go beyond simply monitoring KPIs and use the dashboard as a starting point for deeper analysis and product improvement. Here’s a structured approach based on the knowledge sources:
1. Use Dashboards for Monitoring, Not Just Analysis
Dashboards are great for tracking your key metrics (like retention, engagement, and conversion) and getting a snapshot of your product’s health. However, dashboards alone won’t tell you why something is happening—they only show what is happening. Use them to spot trends or issues, but don’t stop there. If you notice a metric moving in the wrong direction, it’s a signal to dig deeper with analysis tools Data monitoring vs. data analysis.
2. Formulate Hypotheses and Analyze User Behavior
When you see a change in your dashboard metrics, start with a hypothesis about what might be causing it. For example, if onboarding completion drops, hypothesize why that might be (e.g., too many steps, confusing UI). Use Mixpanel’s event-based analysis to compare cohorts (e.g., users who completed onboarding vs. those who didn’t) and look for patterns in their behavior. This helps you validate or disprove your hypothesis and identify specific areas for improvement Data monitoring vs. data analysis.
3. Drill Down with Event Analytics and Funnels
Mixpanel allows you to analyze user flows, funnels, and retention. For example, you can see where users drop off in a funnel (like onboarding or purchase) and what actions successful users take. This helps you pinpoint friction points and opportunities for optimization What is event analytics? | Funnel analysis.
4. Run Experiments and Track Results
Based on your analysis, make targeted changes to your product (e.g., simplify onboarding, improve messaging, update UI). Use A/B testing and track the impact of these changes in Mixpanel. Continue to monitor your dashboards to see if the changes have the desired effect, and iterate as needed Make your product self-serve with product analytics.
5. Share Insights and Collaborate
Share your findings and insights with your team across departments. This ensures everyone is aligned on what’s working, what needs improvement, and what actions to take next Make your product self-serve with product analytics.---In summary: - Use dashboards to monitor KPIs and spot issues. - Formulate hypotheses and use Mixpanel’s analysis tools to understand user and app behavior. - Drill down with event analytics, funnels, and cohort analysis. - Make product changes, run experiments, and track their impact. - Share insights and iterate.This approach ensures you’re not just tracking metrics, but actively using data to improve your product and user experience.
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is only me who see what is happening inside the dashboard and tell me how from event like in csv or json form i analysis and take best descision