Hasgrown

Hasgrown is a term used to describe a software framework and analytics platform designed to measure, model, and visualize growth trajectories across products, users, and markets. It encompasses a metric called the Hasgrowth Index and a collection of tools for data ingestion, cohort analysis, and time-series forecasting.

Origin and development: The concept emerged in the mid-2010s among practitioners in growth analytics and product science as an attempt to standardize growth measurement. The framework began as open-source modules and evolved into a broader analytics offering with commercial and community support, along with connectors to common data sources.

Architecture and features: Core components include the Hasgrowth Metric (a composite index), cohort dashboards, churn and retention analyses, and a forecasting module built on common models. It provides data connectors for SaaS apps, CRMs, and analytics platforms, along with role-based access controls and privacy safeguards. The platform emphasizes modularity, allowing teams to add or replace individual components without reworking the whole system.

Methodology: The Hasgrowth Index aggregates signals from acquisition, activation, retention, revenue, and engagement, normalized across cohorts. It is intended to enable cross-product and cross-time comparisons while allowing drill-down by segment or time window.

Applications and reception: Used by startups, product teams, and academic researchers to evaluate marketing, onboarding, and feature changes. It is praised for unifying multiple growth signals but criticized for potential oversimplification if used in isolation or without context.

Limitations and cautions: Requires careful data quality, consistent definitions, and transparent weighting. The Hasgrowth Index should complement, not replace, domain-specific metrics and qualitative analysis. See also: growth metrics, cohort analysis, time-series forecasting, product analytics.