Consumer research for food, beverage and wellness brands

Know why customers choose, reject or stop buying your product.

Bundl combines customer interviews, product testing, surveys and actual business data to show you what customers want—and which product, pricing, packaging or positioning decision to make next.

Multilingual research across India · Human research leadership · AI-assisted fieldwork and analysis

How Bundl works

We learn your decision, then we run the study.

Forward-deployed researchers embed with your team, run primary research, analyze with rigor, and deliver a recommendation with full provenance.

The right people, recruited faster

Bundl maintains a growing, permissioned network of profiled consumers available for relevant product trials, interviews and surveys. When a study requires a brand’s existing, lapsed or highly specialised customers, we recruit through the client or dedicated external channels. This gives each study the appropriate participants while reducing avoidable recruitment time.

Built for research

70% quicker

than legacy research timelines.

Start here

Start with a Bundl Decision Study

A focused research engagement built around one important business decision.

Typical engagement includes

  • Decision and hypothesis workshop.
  • Review of available customer, sales or operational data.
  • Recruitment from the appropriate audience.
  • Adaptive customer interviews, product testing or surveys.
  • Analysis across customer statements, behaviour and market evidence.
  • Decision report with findings, risks and recommended experiments.
  • Leadership presentation and working session.

Typical timeline: 3–5 weeks

Engagements start from: ₹3.5 lakh, excluding recruitment or logistics with exceptional requirements.

Scope my study

How we deliver

Technology in service of the decision.

Each capability exists to do a specific job in your study — connect what people say to what they do, field interviews at scale, and land a recommendation a human researcher will defend.

AI increases the reach and speed of the study. A named human researcher remains responsible for the method, interpretation and final recommendation.

DatCalResAnaNetIn every engagement

Data

Client-data integration

Connect what customers say with what they actually viewed, purchased or stopped purchasing.

Caller

Multilingual AI caller

Conduct consistent interviews at scale while adapting follow-up questions to each response.

Researchers

Human researchers

Design the study, check fieldwork quality, interpret contradictions and own the recommendation.

Analysis

Research analysis tools

Organise transcripts, identify themes and link conclusions to their supporting evidence.

Network

Participant network

Reach profiled consumers for suitable product, concept and message testing.

AI Caller

Try a live research interview.

Live transcript

Ready

Recent Paper Boat shopper

Start the call to begin.

Field notes

—

Field notes appear during the call

Full-screen demo

Store floor

Read the aisle — from slow traffic to real buying.

Toggle slow vs busy — same packaged-food aisle, different shopper behaviour.

Shopper exits

12

· carts leaving aisle / hr

Purchase cues

2

· observed on busy day

Pack picks

5

· SKUs touched / session

Basket value

₹420

· avg FMCG basket

Slow day · Empty aisle

Your decision

What decision are you trying to make?

  • Why aren’t first-time customers buying again?

  • Which product or flavour should we launch?

  • What should we change about our packaging?

  • Which audience or consumption occasion should we target?

  • What price will customers accept—and what trade-offs matter?

  • Why are customers choosing a competitor?

  • Bring us the decision. We will design and run the research needed to answer it.

Forward deployed

  1. 1

    Book a demo

    Share the decision on your desk — we scope the evidence gap and propose a study design with timeline and deliverables.

    Book a demo
  2. 2

    We frame the study

    A forward-deployed researcher defines the decision, surfaces what is unknown, and builds a falsifiable learning agenda before fieldwork begins.

  3. 3

    We run primary research

    Adaptive interviews, designed experiments, and market signal in 30+ languages — with triangulation and member checking built in.

  4. 4

    We stand behind the recommendation

    Findings that change a decision, reduce material risk, or define the next highest-value learning cycle — with full provenance.

For teams that value precision

Book a session with our research team. Share the decision on your desk — we will scope the evidence gap and propose a study design with timeline and deliverables.

Book a demo