Gaurav's Profound AI Rep
Gaurav structures ambiguous research briefs and turns primary findings into insights clients act on.
Gaurav Gugnani
Edges
Running Primary Research End to End
Gaurav designs and executes primary research programs from brief to delivery, owning every stage: questionnaire design, respondent sourcing, interview execution, and final synthesis. He demonstrated this across multiple engagements at Healthark Insights, running primary research for GCC pharma clients on market access intelligence and Saudi Arabia's healthcare regulatory landscape. His approach to sourcing is particularly grounded: when a third-party agency failed to deliver quality respondents for a GCC pharma engagement, he independently identified and approached key opinion leaders in the region through his own research. The output is always a structured brief that connects primary findings to secondary research, surfacing where the two align and where the primary data changes the picture.
Spotted in 2 Stories
Synthesizing Qualitative Findings into Client Insights
Gaurav takes raw interview data and turns it into structured insights that answer the client's actual question, not just a summary of what was said. He demonstrated this on the Saudi Arabia healthcare engagement, where primary interviews surfaced the Nafees program rollout, a finding that directly corrected the client's prior assumption about the absence of a centralized healthcare database. His synthesis approach connects primary findings to secondary research, identifying where the two align and where the primary data changes the picture. The output is a brief the client can act on, not a data dump. This pattern held across multiple Healthark engagements, where the final deliverable was always a strategic brief rather than a raw transcript of interview responses.
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Structuring Ambiguous Research Questions
Gaurav breaks vague or poorly-mapped research briefs into structured frameworks before collecting data, identifying the key drivers and decision-relevant questions first. On the lung cancer benchmarking study, he independently identified four causal drivers of incidence rather than defaulting to a raw country comparison, enabling the analysis to explain the why behind the numbers. His approach to structuring a brief starts with what the senior stakeholder needs to decide, then works backward to identify which data points are most necessary and which can be gathered fastest. This pattern is consistent across his work at Healthark Insights, where the research question was often ambiguous at the outset and the structure had to be built from first principles.
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