Maya Chen
Busy parent

NovoChoice turns real consumer conversations into reusable consumer agents, so teams can test ideas, claims, pricing, packaging, and launch plans before they spend.
Day-one interviews become a reusable decision asset, not another static report.
Start fuzzy
Not a brief, not a screener. A real question.
Match consumers
50+ qualified consumers, in 72 hours.
Build the consumer model
NovoChoice turns the interviews into a model your team can ask.
Keep asking
Every new study starts from a sharper consumer model, not from zero.

Interview 12 of 50+ · 47 hours in
Live
Maya T., Mom of 2
Tier-1 city · 1 newborn · 1 toddler
AI runs the conversation. Consumers speak naturally. You read the real answers.
AI runs the conversation
An AI moderator asks like a real researcher would — not a script, not a form.
Consumers speak naturally
In their own language, dialect, and rhythm. Nothing is flattened to a multiple-choice answer.
Real objections captured
Pushback, hesitation, and the thing they almost said — all kept, not polished.
Decision logic preserved
Why they said yes, why they walked away. The reasoning chain stays attached to every answer.
The 10,000+ figure refers to modeled consumer agents extended from interviews, category signals, and explicit assumptions. It supports directional decisions and should be followed by real-market validation before large commitments.

Just her breathing. The audio monitor wasn't much help.
Interview records
52 interviews complete in 47 hours.
Consumer intelligence build
Interviews, category trends, and social signals build reusable consumer agents.

Maya T.
1 real consumer
Consumer pool
10,000+ consumer agents, one reusable market, ask again any time.
Ask the same consumer intelligence layer every time a new product decision lands.
Busy parent

Routine optimizer

Pays for calm packaging, visible hygiene cues, and clear dosage steps.
Review scanner

I would check the one-star photos before I believe the leak-proof claim.
Eco-pragmatist

Likes lower waste only when the price and shelf footprint remain sensible.
Small-space planner

Rejects bulky packs and rewards designs that disappear into a cabinet.
Busy parent

Routine optimizer

Pays for calm packaging, visible hygiene cues, and clear dosage steps.
Review scanner

I would check the one-star photos before I believe the leak-proof claim.
Eco-pragmatist

Likes lower waste only when the price and shelf footprint remain sensible.
Small-space planner

Rejects bulky packs and rewards designs that disappear into a cabinet.
Ingredient comparer

Needs a clear switching reason before leaving a trusted incumbent.
Shelf comparer

Decides in seconds at shelf and only notices one concrete benefit.
Content-led consumer

Show me the routine, not just the finished result.
Bulk-value evaluator

Likes unit savings, but rejects packs that create commitment regret.
Design-sensitive consumer

Accepts a premium when the object feels display-worthy and the story stays quiet.
Ingredient comparer

Needs a clear switching reason before leaving a trusted incumbent.
Shelf comparer

Decides in seconds at shelf and only notices one concrete benefit.
Content-led consumer

Show me the routine, not just the finished result.
Bulk-value evaluator

Likes unit savings, but rejects packs that create commitment regret.
Design-sensitive consumer

Accepts a premium when the object feels display-worthy and the story stays quiet.
Identify whether a category, need, or audience is concrete enough to deserve more work.
Where does the need look most concrete?
Built on real interviews and reusable consumer agents, for decisions with too many options, unclear objections, or expensive next steps.

What consumers say they believe, what they actually use at home, and what they will pay 30% more for.

Which meal and which moment the product wins, and what kills repeat after week 2.

Which pack wins the shelf, and which old habit it has to break to win.

Which spec a consumer will quote to a friend, and which one they scroll past.

Which ingredient a parent types into search, and what answer they need to see.

What the dog finishes and what gets left in the bowl — two different product signals.

Which 3 SKUs a store should carry, and which 1 it should drop.

Which photo style earns a save, and which size drives a return.
NovoChoice is built for decisions before spend, with real consumers still in the loop.
consumer-intelligence-pilot
No. Real consumers stay in the loop. NovoChoice turns what they teach you into reusable consumer intelligence, then points the team to the next real validation.
We will turn it into a private consumer intelligence pilot and show what your market would challenge before you spend.