The Product Labby Aarohi Gokhale

Better product decisions start with better thinking.

Product thinking, Business Analysis and AI — brought together through hands-on workshops, practical frameworks and interactive tools.

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The Journey

Think → Defend

01
Think
What do you know?
02
Discover
What are you assuming?
03
Define
What problem is worth solving?
04
Decide
What will you build first?
05
Design
How will it actually work?
06
Defend
Why should anyone fund it?

11+

Years in Enterprise Technology

0→1

Products Built

AI PM

BITSOM Certified

2026

Marsh Technology / CIO Award

The Philosophy

From understanding the problem to defending the decision.

Too many teams get trapped in the discovery phase or rush into AI without a business case. The Product Lab sits between business goals, product strategy and execution — helping turn abstract ideas into decisions that stakeholders can understand and teams can actually build.

The goal is not more process. It is clearer thinking when the information is incomplete and the answer is not obvious.

Messy · Uncertain · DisconnectedClear · Aligned · Defensible

The Core Ecosystem

Different ways to engage. One way of thinking.

The Product Lab brings product thinking, practical application and strategic support together in one connected ecosystem.

01Learn & Practise

Workshops & Learning Experiences

Hands-on learning for students, professionals and teams who want to practise product thinking, Business Analysis and AI in real situations — not just learn the terminology.

Explore Workshops →

02Equip & Apply

Tools & Frameworks

Interactive tools and practical frameworks designed to help turn ambiguous situations into clearer product decisions, better requirements and stronger reasoning.

Enter The Lab →

03Advise

Consulting & Strategic Advisory

Strategic support for organisations exploring product opportunities, AI use cases and complex business or product decisions.

Partner with Aarohi →

The Practitioner Behind The Lab

Hi, I’m Aarohi.

I’ve spent my career working in the space between business problems, technology and the people trying to turn both into something that actually works.

My experience has taken me from building in an early-stage startup to working with enterprise technology, across business analysis, automation, product strategy, delivery and, more recently, AI. The environments have been different, but the underlying challenge has often been the same: making good decisions when the problem is still unclear and the constraints are real.

That is what led me to build The Product Lab.

It is a place to turn some of the ways I approach product work into something people can actually practise — through workshops, interactive tools and practical frameworks. Not to provide answers for every situation, but to help people ask better questions, work with what they know and don’t know, and arrive at decisions they can explain and defend.

Read Aarohi’s Story →Connect on LinkedIn ↗

Aarohi Gokhale — Product Leader and Founder of The Product Lab

Business×Product×Technology×AI

11+ Years of Experience

Startup → Enterprise → AI-enabled product thinking

Methodology in Action

Building at the intersection of business & technology.

Product work doesn’t happen in isolation. It sits between business goals, technology, users, delivery and the constraints of the organisation building it. These are some of the environments that shaped how I approach that work.

01Early-stage startup · Intelligent automation

AIQod

I joined AIQod as its second employee and founding Product Manager, helping build the business and product from the ground up. Because we were a small founding team, the work extended far beyond a conventional product role. I worked directly with the founder across business analysis, product strategy, sales, marketing, delivery, investor pitches and other core areas of building the company.

My role

Product Strategy
Business Analysis
Go-to-Market
Delivery Management
Cross-functional Business Operations

Approach

Problem Discovery→Solution Framing→Product Strategy→MVP→Go-to-Market→Delivery

02Enterprise · Automation · Global Operations

Marsh

Working on enterprise automation initiatives within complex global operations, where technology has to work within real business processes, governance structures, stakeholder expectations and operational constraints.

My role

Product & Automation Strategy
Process Discovery
Business Analysis
Solution Design
Delivery Management
Stakeholder Management

Approach

Process Discovery→Problem Mapping→Automation Design→Implementation→Operational Scale

Explore all case studies & Lab experiments →

Free Lab Resources

Stop guessing. Start thinking it through.

The Product Lab is building practical tools and frameworks for people working through ambiguous product and business decisions. Get notified when new resources and interactive tools are released.

Decision architectureSignals → Decision

How I work with AI

Building for the AI-enabled enterprise

AI only earns its place when it changes an outcome someone is accountable for. These three lenses — augmentation, agency and strategy — decide where it goes and where it deliberately does not.

GenAI

Augment knowledge work

Research, synthesis, documentation and analysis accelerated — with the product manager still accountable for the judgement.

Context

Synthesis

Draft

Review

Agentic AI

Move from answers to actions

AI workflows designed around goals, tools, multi-step reasoning and explicit human-in-the-loop checkpoints.

Goal

Plan

Tools

Act

Validate

Product Strategy

Connect technology to business value

Start with the problem, understand the customer, make the trade-offs explicit and measure the outcome.

Problem

Bet

Trade-off

Outcome

Profile

About Aarohi

My career has moved through several versions of the technology industry — from Business Analysis and enterprise automation to 0-to-1 Product Management and, more recently, GenAI and Agentic AI product development.

That progression shapes how I approach products today: start with the business problem, understand the people affected by it, challenge assumptions, use technology deliberately, and measure whether the solution actually creates value.

More About Me Let’s Connect