PRACTICE AREAS

Using customer interviews, survey data, and funnel metrics (e.g., GA4 / HubSpot), we define ideal customer profiles, craft positioning, and build GTM plans with channel tests, launch calendars, and KPI dashboards.

With user research, journey mapping, and product analytics, we translate needs into product requirement documents, wireframes (Figma), and prioritized roadmaps.

We benchmark competitors with structured feature tear downs, pricing audits, and review mining, then size the market with TAM/SAM/SOM and trend research, delivering a clear differentiation and winning strategy.

Using SQL + Python (Pandas) and dashboards (Tableau / Power BI), we clean messy datasets, create reusable KPI definitions, and build funnels, cohorts, and retention curves.

In Excel and Python, we build unit economics, revenue models, and scenario forecasts (base/bull/bear) tied to real drivers: plus budgets, headcount plans, and sensitivity tables, to make data-driven decisions.

Using automation tools such as Unix and Selenium, we can automate anything from HTML scraping in Image; pulling weekly reports, cleaning files, or running repeatable QA checks with one click.