UX Prompt - The New User Research Deliverable

Management Summary

Generative AI is transforming how digital products are designed and built — but user research hasn’t kept up.

While generative AI tools can now create full UIs and workflows from a single prompt, those prompts are often disconnected from real user needs due to solution-oriented prompts that lack any reference to user needs and user requirements - which often do not even exist due slow, siloed research processes.

Product Context Analyzer already addresses this research gap by delivering structured user research outputs in minutes. Now, with the introduction of UX Prompts, those insights can also be used directly as inputs for generative design tools — making user research results machine-readable, AI-ready, and instantly actionable.

This marks a fundamental shift: from research outputs as static documentation to research output as a dynamic, system-integrated deliverable. It empowers product teams to move faster, make better-informed decisions, and keep AI-generated outputs grounded in real user context.

Looking ahead, UX Prompts lay the foundation for agent-to-agent context sharing — enabling seamless collaboration between autonomous AI agents across research, design, and product development workflows.

UX Prompts: The New User Research Deliverable for the Generative AI Era

Generative AI is fundamentally changing the way we design and build digital products — and it's happening fast. With just a single prompt, it's now possible to create full user interfaces, define workflows, and even generate working application code.

But while the production of digital experiences has become nearly instant, the understanding of user requirements hasn’t kept pace - and that’s a problem.

With Product Context Analyzer, we’ve already helped teams accelerate user research by delivering structured insights in seconds. Today, we’re going a step further — connecting those insights directly into generative design workflows by Introducing UX Prompts — research-based, AI-ready inputs for generative UI tools.

With UX Prompts, the outputs from Product Context Analyzer don’t just support design - they now drive it.

Bridging the Research Gap in Generative Design

Let’s be honest: generative UI tools are incredibly powerful — but they’re only as effective as the prompts they receive.

All too often, those prompts are vague, surface-level, or completely disconnected from real user needs. Why is that?

Because the research that should inform those prompts is:

• Too slow to match the pace of iterative development cycles
• Locked away in dense documents, reports, or slides
• Unstructured and incompatible with the input formats required by generative tools

This disconnect creates a research gap in the generative design process.

Teams can spin up interfaces in seconds — but they rarely have equally fast, usable access to who they’re designing for, what those users need, or why any of it matters.

That’s the gap we’ve been solving with Product Context Analyzer. And now, we’re closing the loop completely.

What Product Context Analyzer Already Delivers

Before UX Prompts, Product Context Analyzer was already transforming how research gets done — offering two powerful, scalable workflows tailored for fast-moving product teams:

1. Research-as-a-Digital Service for UX

UX professionals can submit a task, responsibility, or job profile and instantly receive structured research outputs. These include detailed task flows, pain points, desired outcomes, information needs, and task objects — all delivered in minutes, not days or weeks.

2. Self-Service User Research for Product Managers

Product managers can generate rich user insights on demand — without needing to schedule interviews or depend on dedicated research resources. This empowers better product decisions, earlier in the process.

Together, these capabilities are already streamlining decision-making and reducing research bottlenecks across product and design teams.

What’s New: UX Prompts for Generative UI Tools

Now we’re introducing a new layer of capability — one that links research directly to design automation.

3. UX Prompts-as-a-Service

UX Prompts are structured research outputs, formatted as direct input for generative UI and design tools. This means that the insights generated by Product Context Analyzer can now be used immediately as prompts for tools that generate UI wireframes, workflows — even code.

There’s no need to reformat the output. No manual translation - just go directy from Insight → Prompt → Interface.

Example Workflow

Let’s walk through a real example:

You input a simple task into Product Context Analyzer:
“File an internal IT support request.”

Product Context Analyzer discovers and analyzes the context in minutes and returns well-structured information such as:

• Task steps: select issue type → enter details → track request
• Pain points: unclear categorization, no real-time status updates
• Task outcomes: minimize time to resolution, maximize transparency of ticket status
• Task objects: ticket, incident
• As-is scenario: an authentic story how a user files a ticket
• User needs: a list of information and resource needs that must be supported

Now, just copy/paste this UX Prompt into your generative UI tool and add directions about the UI, for example:

“Design a form-based UI for the task context which I just described and make sure the design supports all specified user requirements.”

This isn’t speculative — it’s fully automated, and it’s available now in Product Context Analyzer.

A New Kind of Research Deliverable

UX Prompts represent a new class of deliverable which is not designed for slides or stakeholder decks — but for machines. It’s research, redefined for a world where design moves at machine speed.

Because they are structured, standardized, and semantically rich, UX Prompts can act as the connective tissue between research and generative AI tools.

This is a major shift in how we think about research artifacts:

• From static documentation → to dynamic, machine readable input
• From research as a report → to design directives that build real things
• From solution focused AI iterations → to explicitly managed scope and requirements

UX Prompts aren’t just a smarter way to deliver research — they’re a foundation for what comes next.

We believe UX Prompts will be a cornerstone of the next generation of product development — where research and design are no longer siloed, and AI tools work in concert, not isolation.

Product Context Analyzer is the first platform to make this possible.

And we’re just getting started - and so should you!.

Use our free trial and generate an UX prompt for your own context and observe how it helps your generative AI-tool to not just create plausible UI wireframes, but UI design that supports identified user needs.