SPACE-analytics

To analyze a CSV file for a DAU drop, you upload the data and specify the metric definitions. The tool performs data health checks, decomposes metrics, and outputs an interactive HTML report with charts and actionable product decisions.

Yes, you can use Excel data for funnel analysis and cohort comparison. The system processes Excel uploads to identify funnel conversion issues, compare cohorts, and produce a shareable HTML report with prioritized actions.

Interpreting A/B test results and retention metrics requires labeling hypotheses by correlation or causality. This tool analyzes the data, provides prioritized actions, and generates a single-file HTML output with embedded charts for meeting discussions.

Yes, this product analytics tool works with SQL query results and dashboard screenshots. It accepts these inputs alongside CSV and Excel files to perform metric tree decomposition and output actionable recommendations.

To decompose metrics for a KPI drop root cause, the tool runs data health checks and metric tree decomposition. It then labels hypotheses by correlation or causality and outputs an HTML report with verification plans.

Analyzing data without clear metric definitions limits the accuracy of root cause analysis. Providing metric definitions alongside CSV or Excel uploads is required to ensure accurate data health checks, hypothesis labeling, and actionable product decisions.