Research and strategy for human–AI interaction.
MindPort works with teams building AI products, emerging technology experiences, and new interaction models. Our work informs product and strategy decisions.
Alongside engagements with AI, healthcare, product, and emerging technology organizations.
Our projects typically begin with a question.
A product team may need to understand how users experience a new AI feature. A leadership team may need to validate a direction before investing further. A research team may need outside perspective on a new interaction model. An innovation team may need to understand how people will respond to an emerging technology.
We help teams move from uncertainty to clarity through research, synthesis, and strategic direction.
Improving the experience of a scaling generative AI product
A scaling generative AI company wanted to better understand how users experienced its creative tools, where friction appeared, and how the product could become more useful, intuitive, and valuable over time.
MindPort conducted product and user research to explore how people interacted with the system, where expectations were misaligned, and what experience changes could improve engagement and perceived value.
The work helped identify opportunities to improve the product experience, clarify user needs, and inform future product roadmap decisions.
AI product and feature validation
MindPort works with teams developing new AI products, features, and interaction models before they reach the market. We help teams understand whether a concept is meaningful, useful, trusted, and desirable before further investment.
Typical questions
- What problem does this AI product solve for users?
- How do people understand what the system can and cannot do?
- Where does the experience create trust, uncertainty, or friction?
- What should be tested before launch?
- Which product decisions will matter most for adoption?
Typical outputs
Research synthesis · Concept validation · Experience principles · Interaction hypotheses · Product strategy recommendations · Roadmap implications
Human–AI experience research
MindPort helps teams understand how people experience existing AI products, prototypes, and features. Useful when a product is technically strong but the human experience remains unclear.
Typical focus areas
Trust and confidence · Comprehension and mental models · Control and agency · Usefulness and workflow fit · Interaction design · Adoption and retention · Emotional and social meaning
Emerging technology and interaction strategy
We work with teams exploring new categories of interaction across AI and emerging technology, including generative tools, agents, multimodal systems, search, autonomous vehicles, robotics, wearables, embedded AI, and other frontier technologies where the interaction model is still being defined.
Typical outputs
Future interaction principles · User and behavior research · Opportunity framing · Strategic product direction · Experience risks and opportunities · Decision support for product leaders
Product strategy through human insight
MindPort translates research into product and roadmap decisions. We help teams move from findings to action: what to build, what to improve, what to test, what to prioritize, and what to avoid.
This is where human–AI interaction research becomes strategic advantage.
- Should we invest further in this product direction?
- How should this AI experience behave?
- Where does trust break down?
- Which users are most likely to adopt this product?
- What interaction model should guide the next version?
- What should the roadmap prioritize?
- How will people understand, use, and build expectations around this capability?
Most of our work begins with a question.
If you are building an AI product or emerging technology experience and need to understand how people will use it, trust it, or respond to it, we can help.