AI-Assisted Product Research

Deep human research, accelerated to AI speed

We combine experienced researchers with AI-powered analysis to validate ideas faster. You get a clear product roadmap and know exactly what to build before development starts.
METRICS DON'T TALK
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Only 54% of users complete their first transaction. Why?
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BUT USERS DO
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The payment is confusing! I don’t know which card is being charged
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CAPABILITIES

How AI-assisted research turns raw ideas into proven products

AI-Assisted User Research
AI-Assisted User Research
We run interviews, mine support tickets, and read through reviews with an AI Research Assistant. It sorts the raw data into patterns first; a researcher checks each one and links it to a real quote. Consumer research that once took weeks now takes days.
Opportunity Mapping & Prioritization
Opportunity Mapping & Prioritization
We turn research findings into a prioritized map of problems and solutions, with user pain points tied directly to your business goals. You know exactly what to build first and why, backed by hard user proof.
CJM & AI Assistant
CJM & AI Assistant
We build Customer Journey Maps and user personas straight from your data. Our researchers use the AI assistant to interrogate the findings and map out every critical touchpoint. The system anchors every insight to specific source documents. You receive clear product decisions based on traceable facts.
AI Research & Prototyping
AI Research & Prototyping
We turn your raw idea into a clickable prototype. Users click, scroll, and interact with it like a live product. Our team reviews the results and flags friction points, letting you validate the concept before writing a single line of code.
Pricing & Product-Market Fit Validation
Pricing & Product-Market Fit Validation
We test real price points and feature bundles directly on the prototype with real users. A researcher reads what the reactions mean for your model. The results show what people will pay for, and whether the concept has product-market fit.
HOW WE WORK

Methods & deliverables

AI Research Synthesis
WHAT WE DO
  • Our researchers design the study and interview your users
  • Our AICI platform instantly transcribes every interview with speaker recognition then tags and clusters findings by theme
  • A researcher checks what the clusters actually mean before anything moves forward
WHAT YOU GET
  • Customer journey maps and user personas, reviewed by our team
  • An assistant your team can ask questions to, with answers backed by quotes and timestamps
  • A strategy signed off by senior researchers, delivered faster than a traditional agency timeline
Interactive Prototyping
WHAT WE DO
  • Turn research findings into clickable screens
  • Build the core flows a real product would have
  • Test and adjust the prototype based on early feedback, in the same week
WHAT YOU GET
  • A working prototype, ready before your next planning meeting
  • Core flows mapped directly to the pain points found in consumer research
  • A shareable link your team can click through before development starts
AI Agent Walkthroughs
WHAT WE DO
  • AI agents run through the prototype along real user journeys first
  • They flag confusing steps, dead ends, and drop-off points
  • We review every flag and decide what's worth fixing before a single live interview happens
WHAT YOU GET
  • A friction report before spending a budget on live interviews
  • A prioritized fix list sorted by impact
  • UX flaws fixed at the prototype stage, before they get 10x more expensive in code
Product-Market Fit Validation
WHAT WE DO
  • Test real price points and feature bundles directly on the prototype with real users
  • Validate pricing alongside usability tasks, in the same session
  • Track exact points where users hesitate, drop off, or commit to pay
WHAT YOU GET
  • Early demand signals before you commission a full-scale study
  • A clear read on product-market fit, backed by real audience validation
  • Tested monetization models and value propositions, reviewed by our team before launch
How AI drives our research
How AI drives our research
See how our team uses AICI, our internal AI tool, to tag transcripts, cluster pain points, and map user journeys.
AI-ASSISTED RESEARCH PROCESS

From Idea to Dev-Ready Product

Every project is unique. We’ll adjust the steps on our first call but here’s how we usually work.
1. First touch

A researcher maps the business problem before discussing deliverables. Sometimes a full research-to-prototype cycle isn’t the right call – a usability audit or one round of interviews answers the key question faster.

Time to deliver:On-demand
2. Objectives definition

We agree on what counts as a result: a validated concept, a tested value proposition, a clear read on product-market fit. Everything after this gets measured against it.

Time to deliver:On-demand
3. Research synthesis

We pull data from interviews, support tickets, and reviews. AICI clusters the raw findings, and a researcher decides which patterns actually matter for your goals.

Time to deliver:On-demand
4. Prototyping & logic testing

We build interactive screens mapped to your core flows. AI agents then walk every path first, catching friction and dead ends before a researcher reviews the results.

Time to deliver:On-demand
5. Decision & deliverables

You’ll walk away with a working prototype you can actually click through, solid research insights, and a clear answer on your product-market fit. We use AI to speed things up, but every single detail is stress-tested and refined by our team before it reaches you.

Time to deliver:On-demand
GLOBAL COVERAGE

Talking to users worldwide

Map
>51M
users our work has impacted across the globe
>35K
hours of user research and UX testing
91/100
an average usability score of our UX/Ul design
Top Market Research Company 2024 Top User Expeirence Comapny 2025 Top Usability Testing Comapny 2025 Top Design Company 2024 Top Market Research Company 2023
Craft Innovations has diverse business and practical know-how in research and design fields. Their expertise allows Mastercard to create new product lines for their clients, addressing the needs of more than six million customers.
Elmir Huseynov
Elmir Huseynov
Managing Consultant, Mastercard
The project goal was achieved 100% – our team got a list of action items to enhance UX of our app. CI team did a full scope of work: recruiting, heuristic UX-audit, user-tests with eye-tracking technology, in-depth interviews, providing us with a detailed report based on qualitative and quantitative data.
Yuliya Shtypula
Yuliya Shtypula
VP of Customer Experience, PrivatBank
The CI team showed excellent communication, attention to detail, responsiveness, honesty, and trustworthiness. The results exceeded our expectations & team always go the extra mile to meet our needs. They are A+.
Kareem El-Assal
Kareem El-Assal
Director of Policy & Digital Strategy, CanadaVisa
I'm impressed with how our partnership has been going. They consistently completed deliverables on time and strongly committed to meeting deadlines. Moreover, they responded to the client's changing needs, and they had exceptional communication and collaboration skills.
Yulian Borsuk
Yulian Borsuk
Consultant, Mastercard
We were impressed by CI’s deep UX and conversion knowledge and effort to achieve great results.
Svitlanka Sergiichuk-Romaniuk
Svitlanka Sergiichuk-Romaniuk
Co-Founder at Neofin

Power your product with AI research

Turn user insights into confident product decisions

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    CASE STUDIES

    What our experts built

    • Usability testing
    • User research
    • Banking
    • + 2
    UX Research & Usability Testing for European Neobank
    UX Research & Usability Testing for European Neobank
    • Development
    • User research
    • Visual Design
    • + 5
    Transforming members’ UX at a leading Ukrainian Credit Union in Ontario
    Transforming members’ UX at a leading Ukrainian Credit Union in Ontario
    • Visual Design
    • Website
    • SaaS
    • + 3
    Corporate website for club industry consulting company
    Corporate website for club industry consulting company
    • Development
    • Visual Design
    • Website
    • + 3
    Engagement rate increase by 33% for fintech website
    Engagement rate increase by 33% for fintech website
    • Usability testing
    • Visual Design
    • Website
    • + 3
    UX/UI redesign to boost usability in eCommerce site
    UX/UI redesign to boost usability in eCommerce site
    • Product concept
    • Usability testing
    • User research
    • + 3
    BNPL platform concept & UX/UI design
    BNPL platform concept & UX/UI design
    • Discovery
    • Service design
    • Usability testing
    • + 2
    Competitors customer experience audit for Bank
    Competitors customer experience audit for Bank
    • Service design
    • User research
    • Value proposition
    • + 2
    Premium Banking 
CX project
    Premium Banking 
CX project
    • Usability testing
    • Banking
    • Fintech
    Usability Testing of a New Loyalty Service for the Bank
    Usability Testing of a New Loyalty Service for the Bank
    • Product concept
    • User research
    • Value proposition
    • + 2
    Designing the Credit Card Customer Value Proposition
    Designing the Credit Card Customer Value Proposition
    FAQ

    Frequent questions about AI-assisted product research

    How is AI-assisted research different from traditional user research?

    Traditional research means a researcher reviews every recording by hand. Here, transcription and tagging happen automatically through AICI, and a researcher reviews every finding before it reaches you. The process is faster. Human judgment stays the same

    We already have a product or an old prototype. Can you work with that instead of starting from scratch?

    Yes, this is where most projects start. We work from what you already have – Figma files, support tickets, past research, analytics.

    Can we use the prototype to pitch investors or our own leadership?

    Yes. A clickable, interactive prototype is one of the strongest de-risking elements in an investor pitch. It gives decision-makers a working product to evaluate directly. 

    What if the AI misses something a human researcher would catch?

    AI handles the heavy lifting. The final decisions belong exclusively to the researcher. Every transcript, tag, and insight goes through a mandatory review by our senior researchers. They cross-check every finding against your product reality before it ever hits your roadmap.

    What are your data security and privacy practices?

    We have worked in the fintech sector for over 7 years. In that industry, top-tier data security is mandatory. Our team applies those exact same standards to your project. We follow strict access controls, meet your specific security requirements, and treat every transcript as strictly confidential.