Product discovery
Finding the right problem before building the solution.
Anushtha Chillure
Product Researcher
I use research to turn ambiguous product questions into clearer decisions.
My work spans product discovery, user research and market research, helping teams understand what to build, who to build for, and what to do next.
I work closely with founders and cross-functional teams across AI, HealthTech, smart wearables and fintech, from early discovery through product development, validation and launch.
Projects
What I work across
Research that moves with the product.
User research
Understanding behaviour, needs and context.
Market & competitive research
Understanding customers, competitors, market gaps and where a product can create value.
Product validation
Testing whether concepts, workflows and experiences actually work.
How I approach product questions
Understand the problem
Start with the user, the context and the decision the team needs to make.
Find the signal
Use the right combination of qualitative, quantitative, market and competitive research.
Turn evidence into direction
Translate research into clearer priorities, product opportunities and recommendations.
Work through the trade-offs
Make the options, constraints and implications visible so teams can make better decisions.
Work
My work spans product discovery, user research, market research and product validation, helping teams make clearer decisions about what to build and where to focus.
Products I've contributed to
MAI Band
A women's wellbeing smart band, researched from hardware to user experience. Contributed across the lifecycle, from sensor selection through UX validation. Deployed by the Government of Madhya Pradesh.
Aarogyam (AI triage)
An AI triage product built for AIIMS in collaboration with Google. Translated clinical, user and product requirements into documentation, user flows and information architecture.
IndusDerma
An AI-powered dermatology screening tool and assistant, built for AIIMS with Google. Contributed user flows, information architecture and product requirements.
Hi, I'm Anushtha.
I'm a Product Researcher interested in the intersection of people, technology and product decisions.
My background is in Psychology, which still shapes how I approach products: I start with people, try to understand the behaviour and context behind what they're doing, and connect those insights to the larger product problem.
At AjnaLens, I work with founders and cross-functional teams across AI, HealthTech, smart wearables and fintech. My work spans product discovery, user research, market and competitive research, and product validation.
I'm most interested in products where the answer isn't obvious yet, where teams need to understand the problem, evaluate the opportunity and make decisions with incomplete information.
How I approach product questions
01Frame the decision
Before choosing a research method, I try to understand what we are actually trying to decide.
- What should we build?
- Who should we build for?
- What should we prioritise, defer or test?
A clear decision creates a clearer research question.
02Understand the user and the market
I look beyond what people say they want.
- What are people doing today?
- What problems are they solving?
- What alternatives already exist?
- What does the market tell us?
Depending on the question, that might mean user research, usability testing, market research, competitive analysis or a combination of methods.
03Identify the trade-offs
Product decisions rarely have one obvious answer. I look at what we're gaining, what we're giving up, and what constraints shape the decision.
- What should we prioritise?
- What can wait?
- What might we be overlooking?
Making those trade-offs explicit often makes the next decision much clearer.
04Translate evidence into action
Research is most useful when it changes what happens next. I aim to turn evidence into:
- A product priority
- A design direction
- A recommendation
- A new question to test
The output isn't always a definitive answer. Sometimes it's simply a better-informed decision.
Experience
Where I've put this approach into practice.
AjnaLens
Product research across AI healthcare and smart wearables, spanning discovery, market and competitive research, validation and product strategy.
PeepalDesign
Longitudinal health research and early-stage fintech concept evaluation.
What I work with
Research
- User interviews
- Usability testing
- Diary studies
- Survey design
- Concept evaluation
- Thematic analysis
- Journey mapping
Market and product
- Competitive research
- Market analysis
- Product discovery
- Feature prioritisation
Tools
- Dscout
- SPSS
- CleverTap
- SEMrush
- Google Analytics
- Figma
- Strapi
Contact me
Looking for thoughtful people to build thoughtful products with.
I'm open to Product Research roles and opportunities to turn complex product questions into clearer directions and better experiences.
Based in Mumbai, open to remote and relocation.
Let's talk
Email meanuchillure63@gmail.com
Emailanuchillure63@gmail.com
Phone+91 73850 11561
LinkedInlinkedin.com/in/achillure
LocationMumbai, India
Open toRemote and relocation