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AI products

AI experiences that make the system’s role understandable.

AI product design with clear inputs, understandable feedback and human review. Explore Benchler’s recruitment workflow and Clearl’s AI UX service.

Connect the product problem with a clear approach.

Product challenge

Unclear expectations

Users need to understand what the system is being asked to do and what information it uses.

Our starting point

Define the AI role

Clarify the user task, the system’s contribution and the decisions retained by people. Establish known capabilities and limitations with the technical team.

Experience behind our approach

Audiences connected by Benchler
2
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Case studies informing our approach
2
Published work behind our ai products perspective, including relevant adjacent products.
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Services for this product context
3
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Professionals demonstrate their skills; companies find people whose skills fit the role.

Connected industry guides
3
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Design the relationship between people and automation

An AI feature changes how people provide information, interpret results and decide what to trust. Benchler’s recruitment product provides a concrete example: AI interviews and skill information sit within a wider candidate and recruiter journey. We use that product context to design around expectations, review and the decisions people still need to make.

Where the experience gets complicated

  1. Unclear expectations

    Users need to understand what the system is being asked to do and what information it uses.

  2. Results without context

    An output can appear definitive even when it needs interpretation. Presentation should help people understand the next review step.

  3. Disconnected automation

    A useful AI interaction must fit existing work, including correction, follow-up and collaboration with other people.

How we approach it

  • Clarify the user task, the system’s contribution and the decisions retained by people. Establish known capabilities and limitations with the technical team.

  • Prototype instructions, input collection, processing states and result presentation. Explain what happens next in language appropriate to the task.

  • Design ways to inspect, correct or continue from an output where the product supports them. Keep the wider workflow visible instead of isolating the AI feature.

  • Use representative outputs and failure scenarios to test comprehension. Align the interface with actual model behavior and document unresolved assumptions.

Related work and reading

Benchler: AI interviews in a recruitment journey

A product connecting IT professionals’ skills with the requirements recruiters need to assess.

View case study

Related experience: complex enterprise decisions

A non-AI concept showing how search, navigation and product structure support fast access to relevant information.

View case study

Services for your product

AI product design

UX for AI-assisted workflows, copilots, generative interfaces and human review, with clear system states and user control.

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Product strategy and discovery

Product discovery, UX audits, research and prioritization to clarify users, constraints and the next product direction.

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Design engineering

Functional prototypes, production frontend interfaces, mobile experiences and reusable design systems in code.

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Common questions

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HR & recruitment

HR tech and recruitment product design connecting candidates, verified skills and hiring requirements. Explore Benchler’s marketplace and brand identity.

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Enterprise software

Enterprise UX design for complex workflows, internal tools and reusable interfaces. Explore Clearl’s portfolio exploration concept and Flutter design system.

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SaaS

SaaS product design for onboarding, dashboards and complex workflows. Explore Clearl’s analytics and operational platform work, UX audits and design systems.

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All industries

Give an AI feature a clear role in the product.

Bring the task you want to improve. We will help define the interaction, human review and the evidence needed to move forward.

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