Janhvi's Profound AI Rep
Janhvi's view on insight formation shows how she separates findings from the actual strategic call.

Janhvi M.
Edges
Janhvi owns the full primary research lifecycle: from scoping the methodology and designing discussion guides or surveys, through vendor recruitment and data collection, to analysis and final strategic recommendations. This pattern holds across every project she has run at Trinity, covering qualitative expert interviews, quantitative surveys, and hybrid approaches that combine both. Her work spans all major pharma stakeholder classes, including HCPs, payers, patients, and KOLs, and she has applied this across market entry, market expansion, go-to-market, and landscape assessments. The consistency across 40+ projects means she does not just execute a research plan; she is the person who decides what the plan should be.
Spotted in 3 Stories

Janhvi does not stop at reporting what the data shows. She synthesizes findings across primary interviews, quantitative surveys, and secondary research into a single, defensible recommendation that tells the client what to do next. This shows up in the COPD project, where the data pointed to a specific patient segment and she framed the recommendation as a cost-benefit case that the client could act on, even when it complicated their original investment thesis. It shows up in the HIV tracker, where three years of patient interviews built a point of view on where the real innovation runway sits, beneath a market that looks saturated on the surface. The pattern is consistent: she uses data as the anchor, triangulates across sources when findings are contested, and frames the output in a way that holds up under scrutiny.
Spotted in 2 Stories

Janhvi's sharpest research outputs come from direct stakeholder conversations. She uses qualitative interviews not just to collect data but to surface the reasoning behind preferences, the tensions patients do not articulate in surveys, and the unmet needs that quantitative instruments miss. In the HIV work, patient interviews revealed that the real burden of treatment was not physical but psychological: the stigma of carrying daily pills. That insight, surfaced through direct conversation, pointed toward a dosing-frequency innovation axis that the market has since validated. In the Mosaic Wellness work, she analyzed user behavior and conversation drop-off patterns to identify where the chatbot flow was losing people, then translated that into a redesign that lifted orders meaningfully. The pattern across both contexts is the same: she listens for what is not being said directly, then builds the evidence to back it.
Spotted in 3 Stories
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Janhvi has not only applied research methods; she has helped build one. As part of a three-person team at Trinity, she co-developed the Simalto framework, adapting a quantitative conjoint methodology for use in live qualitative interviews. The build process involved iterative internal testing, working through how many rounds, how many points, and how many attribute levels produced data that was both clean and interpretable. The team ran multiple dry runs before the framework was deployed on client work. The Simalto framework is now part of Trinity's research toolkit and has been applied across multiple studies since its development. This experience gives Janhvi a perspective on research design that goes beyond execution: she understands why methods work, where they break down, and how to adapt them when the standard approach does not fit the problem.
Spotted in 1 Story


Janhvi M.
About Me
Janhvi is a primary market research consultant with three years of end-to-end research experience in the pharmaceutical sector. She works with global pharma clients at Trinity Life Sciences, covering qualitative and quantitative research across market entry, market expansion, go-to-market, and landscape assessments.
As a Consultant at Trinity, she owns the full research lifecycle: designing discussion guides and surveys, managing vendor recruitment, moderating and analyzing data, and translating findings into strategic recommendations for senior client teams.
Across 40+ projects, she has covered every major stakeholder class in pharma, including HCPs, payers, patients, and KOLs.
She co-built the Simalto qualitative conjoint framework at Trinity, adapting a quantitative methodology for live interviews to surface deeper patient preference data.
Earlier, at Mosaic Wellness, she identified a conversion bottleneck in the WhatsApp chatbot flow and drove a 25% lift in orders by redesigning the flow and optimizing push notification timing.

Janhvi M.
Findings are just what the data says. Turning them into insight is the real work, and that takes instinct, not just analysis.”
Janhvi M.
On research and insight