Revamp Sandbox - Analytics Page

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• [ ] Show all the data we have
• [ ] Show the values for the last 90 days
• [ ] Introduce a leaderboard for most active users
• [ ] Define an activity metric
• [ ] expose all AnalyticEvents

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When onboarding beta users, especially for a SaaS (Software as a Service) platform like VizHub, tracking the right metrics is crucial to ensuring the platform's ultimate success. Here are some vital metrics the VizHub team should monitor:

1. User Acquisition Metrics:

   • New Users: The number of first-time users who have registered on the platform.
   • Source of Acquisition: Understanding where these users are coming from (e.g., referral links, direct visits, social media, etc.) helps optimize marketing strategies.

2. Engagement Metrics:

   • Active Users: This can be broken down into:
     • DAU (Daily Active Users): Users who interact with the platform on a daily basis.
     • MAU (Monthly Active Users): Users who interact at least once within a month.
   • Session Duration: The average length of time a user spends on the platform during a single visit.
   • Feature Adoption Rate: How many users are using the newly introduced features, like the open-source code editor or the real-time collaboration tools?

3. Retention Metrics:

   • Churn Rate: The percentage of users who stop using the platform during a specific time frame. A high churn rate after beta testing could indicate dissatisfaction or issues with the platform.
   • User Lifespan: How long, on average, users continue to use the platform before churning.
   • Net Promoter Score (NPS): A measure of users' willingness to recommend the platform to others. It provides insight into overall user satisfaction.

4. Monetization Metrics:

   • MRR (Monthly Recurring Revenue): The total monthly revenue from subscribed users. Even if the first year is free for beta users, tracking this metric as soon as they start paying will be crucial.
   • ARPU (Average Revenue Per User): The average revenue generated from each active user. This helps in understanding the monetary value of each user segment.
   • LTV (Lifetime Value): An estimate of the total revenue that can be attributed to a single user over the entire duration of their relationship with the platform.
   • CAC (Customer Acquisition Cost): The average cost of acquiring a new customer, considering marketing and sales expenses.

5. Feedback Metrics:

   • Feature Request Frequency: The number of times a feature is requested, which can guide the development roadmap.
   • Bug Reports: The number and severity of bugs reported, indicating the platform's stability and areas of improvement.
   • Feedback Survey Results: Regularly polling users about their experiences, suggestions, and pain points can provide qualitative insights to complement quantitative metrics.

6. Referral Metrics:

   • Referral Rate: The number of users who joined the platform through a referral from an existing user.
   • Conversion Rate from Referrals: Out of the users who were referred, how many actually registered and became active users?

By closely monitoring these metrics, the VizHub team can get a holistic view of the platform's performance, user satisfaction, and potential areas of improvement. This will enable data-driven decisions that can foster both regular usage and profitability.

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Discourse dashboard

Absolutely! Presenting these metrics visually makes them more accessible and digestible. Here's a guide for visualizing each metric:

1. User Acquisition Metrics:

   • New Users: A line chart with time (daily, weekly, monthly) on the x-axis and number of new users on the y-axis.
   • Source of Acquisition: A stacked bar chart or pie chart can show the proportion of users from each acquisition source.

2. Engagement Metrics:

   • Active Users (DAU & MAU): A dual-axis line chart with DAU and MAU plotted together allows you to compare these metrics and observe patterns.
   • Session Duration: A histogram can show the distribution of session durations among users.
   • Feature Adoption Rate: A bar chart with individual features on the x-axis and the number/percentage of users on the y-axis.

3. Retention Metrics:

   • Churn Rate: A line chart over time will show how churn rate evolves.
   • User Lifespan: A histogram can display the distribution of user lifespan durations.
   • Net Promoter Score (NPS): A gauge chart or horizontal bar chart that spans from -100 to 100.

4. Monetization Metrics:

   • MRR: A line chart tracking MRR over time will give insights into growth or decline.
   • ARPU: Another line chart over time can show if you're increasing the value derived from each user.
   • LTV: A bar chart segmented by user acquisition cohorts will indicate which cohorts bring the most value over time.
   • CAC: A line chart can compare CAC with other metrics like LTV to ensure profitability.

5. Feedback Metrics:

   • Feature Request Frequency: A bar chart with features on the x-axis and the number of requests on the y-axis.
   • Bug Reports: A stacked bar chart can segment bugs by severity over time.
   • Feedback Survey Results: Pie charts or doughnut charts for individual questions; word clouds for open-text feedback.

6. Referral Metrics:

   • Referral Rate: A line chart tracking referrals over time.
   • Conversion Rate from Referrals: Another line chart can show the conversion rate of referred users.

General Visualization Tips:

• Interactive Dashboards: Using tools like Tableau, PowerBI, or similar platforms can allow users to interact with the data, filtering by date range, user cohorts, or other parameters.

• Annotations: Use annotations on your visualizations to highlight significant events or insights (e.g., marketing campaigns, feature launches, etc.).

• Color Coding: Use consistent color coding across charts, especially if the same categories (e.g., user acquisition sources) appear in multiple visualizations.

• Comparison: When feasible, use side-by-side comparisons or overlay data to compare metrics directly. For instance, plotting CAC and LTV on the same chart provides instant insights into profitability.

• Regular Updates: Ensure that these visualizations are updated in real-time or at regular intervals to provide the most current insights.

Remember, the goal of data visualization is not just to present numbers but to tell a story and make the data actionable. Ensure that your visualizations are clear, concise, and catered to your audience, whether they're internal stakeholders or external partners.