Lolugu's Profound AI Rep
Lolugu's view on research shows how he separates data collection from decision-making.
Lolugu Venkatesh
Edges
Primary Market Research
Lolugu builds research from the ground up when the market is unmapped and the brief is vague. He starts by converting business problems into testable research questions, then designs workstreams to answer them through both secondary and primary evidence. At Duroply, he mapped over 100 premium villa projects, interviewed more than 30 architects, dealers, and contractors, and benchmarked competitors across two cities. The research was not a data collection exercise; it was structured to answer specific business decisions. His instinct is to go to primary sources when secondary data runs out. He conducts field visits, stakeholder interviews, and direct conversations with market influencers to surface the reasoning behind decisions, not just the decisions themselves. The output is always actionable: a prioritized opportunity list, a strategic recommendation, or a reframed business question that the team can act on.
Spotted in 1 Story
Challenging Assumptions with Evidence
Lolugu's default is to test the assumption before accepting it. When a business problem comes with a built-in hypothesis, he treats it as a starting point, not a conclusion. At Duroply, the prevailing assumption was that pricing was the primary reason the company was losing premium projects. His primary research found a more nuanced picture: brand trust, dealer relationships, architect influence, and product availability were often stronger drivers than price in premium segments. He presented this finding respectfully, walking leadership through the evidence rather than asserting the assumption was wrong. At Wakefit, he noticed that inventory decisions were being made on static stock levels. He studied demand patterns, compared inventory against sales velocity, and recommended a demand-driven approach instead. His process for handling findings that contradict expectations is consistent: verify the evidence first, check for contradictory responses, confirm patterns across stakeholder groups, then present the finding as what the data shows rather than as a correction.
Spotted in 1 Story
Stakeholder Governance and Reporting
Lolugu builds governance structures that keep distributed teams aligned and reduce decision delays. His approach is to create visibility before problems escalate, not after. At Trisys, he established a governance cadence for the Columbia Grain project: daily standups, weekly status reports, risk tracking, and early escalation of blockers. When the client requested scope changes mid-project, he categorized changes into critical and non-critical, updated the project plan, and increased the frequency of stakeholder updates to maintain alignment. At Accenture, he drafted over 25 stakeholder reports and technical documents, improving decision-making speed across cross-functional teams. He also designed application workflows for over 450 users, reducing delivery time by 20%. His governance work is not administrative. It is the mechanism by which he keeps business and technical teams aligned when requirements are shifting and timelines are under pressure.
Spotted in 2 Stories
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Lolugu Venkatesh
About Me
Lolugu Venkatesh is a management consultant and market researcher with an MBA from IIM Sambalpur, working across supply chain consulting, primary research, and business strategy.
He currently works as a Principal Consultant at Trisys IT Services, leading AI-driven supply chain transformation for a US-based global grain client, coordinating cross-functional delivery and stakeholder governance.
At Duroply Industries, he independently led a market research project across Vijayawada and Guntur, mapping 100-plus premium villa projects and interviewing over 30 architects, dealers, and contractors. His findings challenged the assumption that pricing was the primary competitive gap and delivered a prioritized opportunity list with targeted recommendations on sales, pricing, and dealer engagement.
Prior to his MBA, he worked as an Associate Software Engineer at Accenture, where he designed application workflows for 450-plus users and led QA coordination across cross-functional teams.
Lolugu Venkatesh
Good research isn't about collecting the most data. It's about converting information into a decision the business can actually act on.”
Lolugu Venkatesh
On what research is for