I'm Medha Ashok, a digital product manager who works where strategy meets the machinery: shipping roadmaps, wiring AI and automation into the everyday, and making pages findable by people and by models alike.
Not a specialist bolted onto a team. Someone who moves between the roadmap, the analytics and the automation without losing the thread.
A short list on purpose. Each of these is a body of work, not a screenshot, so each gets its own case study.
Owning the product surface of a growing D2C brand, from roadmap and experimentation to the search strategy that decides who ever finds the store.
Read the case ↗Building the intelligence layer behind an events operation, turning scattered activity into automated reporting the team could actually decide with.
Read the case ↗Medha Ashok did not start in a product org. She started where a lot of the most useful product people quietly start: in search. At AdaptNXT, an SEO internship was less about keywords than about a first, unglamorous truth. A product nobody can find may as well not exist.
That lesson followed her. As a News Analyst at Cognizant she learned to read signal out of noise at volume; at Ekya Schools, running search as an SEO executive, she learned that ranking is a downstream effect of decisions made much earlier, in structure, in content, in intent. Marketing kept handing her problems that were really product problems in disguise.
At Showmaker the work turned technical and operational: AI, analytics, automation. Instead of reporting on what had happened, she started building the systems that reported themselves, freeing a team to spend its attention on decisions rather than spreadsheets. This was the turn, from describing outcomes to designing the machinery that produces them.
Today, as Digital Product Manager at The Mom Store, the threads pull together. Roadmap and experimentation sit beside conversion and checkout. An AI layer and automation quietly handle the repetitive middle. And search has widened into three fronts at once: classic SEO, answer engines (AEO) and the generative surfaces (GEO) that increasingly decide what a customer sees before they ever reach a page.
The throughline isn't a job title. It's a way of working: find where the business actually loses momentum, then build the smallest system that fixes it for good, with product thinking, data and increasingly with AI.
Eight overlapping practices. Most engagements pull from several at once, which is rather the point.
Roadmaps, prioritisation and delivery with cross functional teams, from discovery to ship.
Putting models and automated workflows to work on the repetitive middle of the business.
Being found by search engines, answer engines and generative engines alike.
Framing the problem, sizing the bet, and sequencing the work that follows.
Conversion, checkout and the customer journey: the mechanics of a store that grows.
AI assisted dashboards and measurement that make the next decision obvious.
Design, wireframing and front end build, from first sketch to shipped page.
Moving teams from manual and reactive to systematic and measured.
A reverse-chronological look at the roles that shaped how I work.
Owning the digital product surface of a growing D2C brand: roadmap and experimentation, SEO/AEO/GEO, conversion and checkout optimisation, AI-assisted automation, and analytics dashboards that keep the team pointed at the right work.
Built the intelligence and automation layer behind an events operation: AI systems, automated reporting and workflows that replaced manual reporting and sharpened daily decisions.
Ran search as a discipline across technical and content SEO, structure and intent, learning that rankings are the downstream effect of decisions made much earlier in the product and content.
Read signal out of high volume information streams, the analytical groundwork that later became a habit of measuring before deciding.
First professional exposure to search, and the founding lesson of the whole career: a product nobody can find may as well not exist.
Formal grounding in the commercial side of digital: marketing strategy, ecommerce, analytics and the business logic underneath the product decisions.
A working stack, not a wish list. AI runs through how I research, design, build and ship, every day.
Have a product, a store, or a search problem worth solving?