The business question
How do product and marketing teams learn faster from growth work?
Growth activity becomes harder to prioritise when product data, campaign signals, stakeholder needs, and content execution live in separate conversations. The goal was to create a tighter reporting and experimentation rhythm for weekly decision-making.
The work
Build the measurement and execution loop together.
I engineered SQL dashboards that unified product and marketing data, documenting an 18% CTR lift for weekly GTM and campaign-planning reviews. I also designed and analysed A/B tests across three growth initiatives, validating a 20% engagement lift to inform product-roadmap decisions.
Unify the inputs
Bring product and marketing signals into one review-ready reporting view.
Evaluate variants
Use A/B tests to distinguish preference from measurable user engagement.
Apply the learning
Translate the winning signal into roadmap, GTM, and content priorities.
The decision support
Turn reporting from a status update into a shared operating system.
Portfolio note
This summary is built from resume-level outcomes. It does not include internal SQL, dashboard screenshots, user-level data, experiment assets, or unpublished Testbook material.