Optimizing Your Dashboard and Analytics on the qirelon asthavar Platform

1. Configuring the Dashboard for Maximum Relevance

The default workspace on the qirelon asthavar platform often contains generic widgets. To optimize it, start by removing unused modules: click the “Edit Dashboard” button, then drag irrelevant panels (e.g., social media mentions if you only need sales data) to the trash bin. Next, add specific metric cards-focus on daily active users, conversion rate, and revenue per source. Use the “Custom Widget” option to combine two metrics into a single chart, such as “Cost per Acquisition vs. Lifetime Value.” This reduces visual clutter and highlights the KPIs that directly impact your decisions.

After setting widgets, apply persistent filters. The platform allows you to lock a date range (e.g., last 30 days) and a segment (e.g., “Mobile Users Only”) at the top of the dashboard. These filters cascade to every chart, ensuring consistency when you switch between tabs. Save this layout as a “Master View” for your team. You can duplicate it for different departments-create a “Marketing” copy with channel breakdowns and a “Product” copy with feature adoption rates.

2. Advanced Analytics: Custom Reports and Funnels

Beyond the pre-built reports, the platform’s “Analytics Lab” lets you build SQL-like queries without coding. Navigate to Reports > Create New > Blank Report. Define your event sequence: for example, “Page View → Add to Cart → Purchase.” The system auto-calculates conversion rates between each step. You can also add a “Time Threshold” (e.g., “within 24 hours”) to exclude abandoned sessions. Export the funnel as a CSV or schedule a weekly email delivery to stakeholders.

Using Cohort Analysis for Retention

Switch to the “Cohorts” tab in the analytics section. Select a user acquisition date (e.g., “Signup Week”) and a retention metric (e.g., “Returning Sessions”). The platform generates a heatmap showing how user activity decays over time. If you notice a 60% drop after week two, create a “Re-engagement” segment and test a push notification campaign directly from the dashboard. Monitor the cohort’s recovery rate in the same view after two weeks.

3. Data Interpretation and Actionable Triggers

Raw numbers are useless without context. Enable “Anomaly Detection” in Dashboard Settings. The algorithm learns your weekly patterns and highlights outliers-for instance, a sudden 200% spike in error logs on Tuesday. Click the flagged point to see the raw event stream and identify the root cause (e.g., a failed API endpoint). Set up “Smart Alerts” for three critical metrics: daily revenue drop below $500, bounce rate above 70%, and signup completion below 2%. Alerts arrive via email or Slack webhook.

For deeper analysis, use the “Compare Periods” feature. Select “This Week vs. Last Week” and overlay the line charts. If traffic increased 15% but conversions stayed flat, drill into the “Traffic Sources” widget. You might discover that the growth came from low-intent social media clicks, not organic search. Adjust your budget allocation accordingly. All comparisons are saved as “Insight Cards” that you can pin to the top of your dashboard for future reference.

FAQ:

How do I share a custom dashboard with a colleague who has limited permissions?

Use the “Publish Snapshot” option. It creates a read-only link with the current data, accessible even to users without edit rights. You can set an expiration date for the link.

Can I revert to a previous dashboard layout after making changes?

Yes. The platform keeps a 30-day version history. Go to Dashboard > Version History, select a timestamp, and click “Restore.” This does not affect your current data-only the widget arrangement.

Why are some metrics showing “N/A” in my custom report?

This usually occurs when the selected date range has no events for that metric. Check your filter conditions and ensure the event name matches exactly (case-sensitive) in the “Events” settings.

Is it possible to combine data from two different workspaces into one chart?

Yes, use the “Cross-Workspace Query” in the Analytics Lab. You need admin rights to both workspaces. The merged data appears as a new virtual dataset, but real-time syncing is limited to hourly updates.
How do I export a funnel report with user IDs attached?In the funnel builder, click “Export Options” and select “Include User Identifiers.” The CSV will contain hashed user IDs for each step. Ensure you comply with privacy regulations before sharing this file.

Reviews

Mia K.

I cut my weekly reporting time by 4 hours after setting up the anomaly detection. The platform flagged a pricing bug that manual checks missed. Highly recommend the custom funnel builder.

James R.

The cohort heatmap is a game-changer for our SaaS retention strategy. We spotted a 40% drop at week three and launched a targeted email flow. Recovery improved by 18% in one month.

Priya S.

Initially, the dashboard felt overwhelming with all the widgets. Once I followed the guide to remove irrelevant panels and lock filters, it became my single source of truth. The cross-workspace query feature is brilliant for comparing ad platforms.