LLM-based context discovery transforms how organizations learn about users
SCALE UP discovery
Leverage information learned from vast amounts of documentation, workflows, domain knowledge, and usage descriptions.
REDUCE uncertainty
Generate outputs not limited to internal stakeholder opinions, existing customer relationships, or organizational assumptions.
HARMONIZE outputs
Generate contextual outputs through standardized workflows instead of inconsistent research practices and prompting techniques.
ADJUST scope
Generate explicit context first and invest research effort where uncertainty still remains.
RUN YOUR RESEARCH
with Product Context Analyzer
Always come prepared
to your next design meeting
Redefine User Research Operations
Unlock three new, fast, and scalable research workflows
INSTANT
On-demand User Research
Run user research in minutes and deliver professional research outputs whenever product teams need them.
Reveal jobs-to-be-done and desired outcomes for early product strategy
Generate detailed task flows and user needs for interaction design
Deliver user stories and requirements during agile sprints
EASY
Self-Service User Research
Generate research outputs without requiring specialized user research expertise or dedicated support.
Reconstruct problem spaces even from ambiguous or incomplete inputs
Apply multiple research methods without specialized expertise
Zoom in on specific task requirements whenever needed
AI-READY
UX Prompts as direct AI Input
Turn context-of-use information into AI-ready inputs for generative design.
Transform user research into human-centered domain models
Generate UX prompts for generative design workflows
Validate generated designs against explicit user requirements
Effortless Interview Analysis
Automatically extract and structure content from your interview transcripts
Upload your interview transcript ...
Previously, you had to set aside a significant amount of your time,
in addition to the interview itself, to capture and document all relevant information.
Now, you can utilize AI to automate this process, freeing up time
that would otherwise be spent on interview post-processing.
>>>>>
... and get back a structured context model
In addition to the standard interview summary and a list of design concepts
that emerged during the interview, you will receive a structured context of use model
that incorporates all of the information discussed in the interview.
This model can be accessed and interactively browsed online.
Become an Expert on Your Product Context
See how practitioners across different disciplines use PCA to become more effective in their daily work
"I am convinced that the information generated can save us a lot of work
when planning and documenting a context of use analysis because
the presentation of the results is very detailed and clearly structured.
In addition, the tool also helps me to evaluate, complete and verify existing results
from manual context of use analyses."
Philipp Kirsten - Usability Engineer
(Heidelberg Engineering)
"I train designers from around the world and design teams at Fortune 100 companies
how to use AI tools. Product Context Analyzer is a uniquely powerful addition to my AI training toolkit.
The amount of detailed high-quality user journey information it provides in a matter of minutes
would take me 3 or 4 days to create on my own."
Greg Aper - Design Consultant & Speaker
(superunknown.design)
"What I really liked were the personas identified as this was really complete.
I also liked the well-structured content which would serve as a perfect kick-start
and identify the gaps that need to be explored in more detail.
I think this tool would save you 20 to 40% of the time you'd spend on documenting customer use cases."
Principal Solution Architect
(Anonymous Beta Tester)
Subscription Plans
Flexible monthly or annual plans for radically accelerating your UX research.
TRY
Sign up and test Product Context Analyzer with your own use cases for free
* Research credits measure the AI resources required for context discovery. Included credits renew every billing period. Credit consumption depends on the scope of the analysis, with one credit typically covering the analysis of one user task. Additional credits can be purchased when needed.