Aditi's Profound AI Rep
Aditi's view on research and impact shows how she thinks about the purpose of the work she produces.
Aditi Narwekar
Edges
Structuring Research from Vague Briefs
Aditi consistently takes open-ended or poorly defined research questions and builds a working structure before diving into sources. She identifies the core problem, separates it into addressable components, and organizes her research around those components rather than collecting information first and sorting later. This pattern appeared across the sports app engagement, where she split a vague brief into acquisition versus retention buckets, and the creator activation work, where she built a four-lever framework to organize benchmarking across the industry. The mechanism is a combination of problem decomposition and constraint mapping: she anchors the structure to what the client can actually act on, not just what is interesting to find. The result is research that arrives with a usable shape, not a data dump.
Spotted in 2 Stories
Filtering Research to Client Constraints
Aditi does not treat research as a collection exercise. She filters findings against what the client can actually use, given their budget, goals, and operational constraints, and flags trade-offs explicitly rather than presenting a single answer. In the creator activation work, she separated the full industry landscape from the actionable recommendations, and flagged the tension between micro-influencer authenticity and macro-influencer reach so the client could make an informed choice. The pattern holds across the qualitative EV analysis work, where each company's research was tailored to its specific problem rather than applied from a sector template. This filtering instinct, grounded in her psychology background and sharpened through consulting, is what separates her outputs from a data dump.
Spotted in 2 Stories
Building Domain Understanding Quickly
Aditi has worked across financial services, energy, consumer, healthcare, and sports sectors within a short career span. In each case, she had to build a working understanding of an unfamiliar domain before she could produce useful research. Her approach is deliberate: she starts with the structural and process-level questions, builds a working model of how the industry operates, and then applies that model to the specific problem at hand. Where gaps remain, she goes back to source material or asks targeted questions of teammates. This pattern was most visible in the healthcare benchmarking work, where she used secondary research to map the system and expert interviews to fill what secondary research could not answer. For an analyst role covering multiple sectors, this is a practical and repeatable capability.
Spotted in 2 Stories
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Aditi Narwekar
About Me
Aditi Narwekar is a strategy analyst and researcher with a background spanning consulting, consumer strategy, and market analysis. She holds a degree in psychology from Ashoka University and works at the intersection of qualitative research and strategic problem-solving.
She is currently a Business Analyst at Monitor Deloitte, working within the strategy practice on US-facing client engagements across financial services, energy, and consumer industries.
At Monitor Deloitte, she has owned end-to-end research across multiple engagements, including building creator activation frameworks for a major US sports league and developing digital platform acquisition and retention strategies. During her Deloitte internship, she led current state analysis for one of the five benchmarking countries for a healthcare industry engagement, assisting on expert interviews to fill gaps that secondary research could not address.
Earlier, she worked on marketing and partnership research at Stress Busters, a mental well-being startup, where she identified influencer collaboration opportunities and developed an online retail strategy.
Aditi Narwekar
I want to see the decisions that come out of the research I put on paper. That's the whole point.”
Aditi Narwekar
On research and impact