Case studies
Before and after, in real numbers.
Two projects from very different contexts. Same discipline behind them.
01 / Telehealth (US)
Leafwell
The problem
Duplicated metrics and BI logic drift across dashboards used by executives, operations and product. Every team brought a different number to the same question.
The approach
Unified dbt models on Redshift, orchestration with Airflow, and governance workflows for A/B tests and cohort analysis. Ad-hoc analysis in Python, with Claude used to speed up model review and documentation.
The outcome
Aligned KPI definitions across teams, integrity across reporting surfaces, and an ongoing partnership with platform and engineering.
100%
KPIs unified
5+
Aligned teams
30+
States served
2+ yrs
Active partnership
02 / Gaming community
Tales Inc.
The problem
A platform with no analytics stack. Product decisions made on intuition. No retention, no cohorts, no abuse detection.
The approach
Event tracking, metadata ingestion, Metabase dashboards, retention modeling, REST API integration for automated governance, and abusive-behavior detection pipelines.
The outcome
Cohort-driven product decisions. Sustainable growth. Automated abuse detection cut weekly moderation work by hours.
125K
Registered users
20K+
Active members
300%
ARR growth
500%
DAU growth