Human understanding, built for your systems

Start with the data you need

We design data collection around your questions, gather deep input directly from consumers, and turn it into structured data for your systems

Trusted by

The missing data pieces, from real people

Reason8 collects and structures consumer data to inform your decisions and feed your dashboards and models.

Examples of the data we collect

Consumer decisions

Why people choose a product, switch to another or come back to it.

Consumer interactions with AI

What people ask AI, what they need from it and how they act on its answers.

Changing needs

Why trends start and habits change, with fresh data added to your systems round after round.

In-depth conversations

One-to-one conversations at scale, with follow-up questions shaped by each participant’s answers. Explore their experiences, priorities and reasons for choosing.

Interactive tasks

Participants explore products, compare options or interact with AI in online tasks. We capture their choices and ask what shaped them.

How we collect and keep your data current

Ongoing data updates

Follow-up collection addresses new questions as products, seasons and consumer behaviour change. Each round adds fresh data in a consistent format for your systems.

90% faster

Hundreds of in-depth conversations at once, with data in days instead of months, as often as you need.

5x lower cost

Low enough to keep collecting, so you are not limited to one study.

Built around your data

Delivered in the format you use, kept up to date and focused on what your systems are missing.

Selected work

60 in-depth voice interviews · completed in days

What we provide
Data on how consumers and businesses think about AI: what they trust, what they fear and how far they would let it act for them.
From insight to testing
When the findings point to a new idea, we test AI prototypes with customers, recording what they do and asking why.
Use
Advising banks and payment networks across Central and Eastern Europe, and shaping AI solutions for their customers.

“When data is days away instead of months, you can ask different questions - and give clients better answers.”

Artur Bartosiak
Director, AI & Stablecoin Lead
Visa Consulting & Analytics

See case study

50 one-hour interviews · 4 days

What we provide
Structured data on consumer trends and how they translate into product ideas: which concepts appeal, what holds people back and how a product fits their daily lives.
Data source
Hard-to-reach groups, including parents dealing with skin conditions and pregnant women, in one-hour conversations.
Use
Feeding concept and value proposition decisions in product development.
Delivery
When the team had specific questions for this hard-to-reach group, the whole process took 4 days.

“In-depth conversations give us a steady flow of consumer data for our innovation work.”

Kasia Janik
Consumer Insights and Analytics Manager
Reckitt

See case study

600 consumers · 3 phases · 1 week

When people’s reasons overturn the room’s intuition

“You usually pick between scale and depth. This time we didn’t have to.”

Paweł Wikło
CEO
Skawa

See case study

Start with the data you need

Tell us what your team needs to understand and where the data will be used. We’ll propose a collection approach, delivery format and update schedule.

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