AI-powered User Research
Generate detailed user requirements for your product at the speed of thought
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Automate secondary user research
Get a comprehensive context of use description including task flows that reflect your targeted product context.
Automate documentation of requirements
Get detailed user requirements and user stories derived from our automated context of use analysis.
Get insights about what matters
Get guidance on product strategy and design direction based on our automated context discovery.
Get instant results
you can share with your team
Context of Use Analysis
Get a complete description of all stakeholders and their responsibilities, tasks and their subtasks, goals, and pain points to gain a comprehensive understanding of the targeted domain.
Long List of Stakeholders
Identify all stakeholders that are directly or indirectly related to a product context, and represent opportunities to expand your user base.
Detailed Task Flows
Get a detailed list of subtasks to understand the user flow and necessary steps to accomplish an identified task.
Desired Outcomes
Get a detailed list of desired outcomes related to jobs-to-be-done to understand stakeholder goals and expectations.
User Requirements and User Stories
Get consistently written user requirement or user story statements as explicit documentation of requirements for your solution.
Task Objects and Resources
Get a list of task objects and required resources that are necessary to perform a task.
Journey Maps
Get comprehensive journey maps that list all the stakeholders, tasks, and pain points for each phase of a larger process to understand the big picture.
Opportunities for AI-based Automation
Get a list of cognitive tasks that could be supported by intelligent system agents in the form of automated decision loops.
Analyze Interviews with one click
Automatic extraction and structuring of information from interview transcripts eliminates the need for manual processing.
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.
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.. 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.
Run Research
RUN YOUR RESEARCH
with Product Context Analyzer
Enjoy a break
while your research is running
Subscription Plans
Flexible monthly or annual plans for occasional or intensive use.
Limited Beta
Be one of the first who use Product Context Analyzer for their own use cases.
free
first-come, first-served
Includes 100 research credits*
  • All features included
Professional
Instant context discovery and generation of user requirements and smart insights
starting from 50 USD
per month (small)
Upgradable research credits*
  • Detailed Task Models
  • User Requirements and User Stories
  • Task and Journey Maps
  • Stakeholders and their Responsibilities
  • Goals and PainPoints
  • Task Objects and Resources
  • Strategic Design Directions
Enterprise
Standardized user context description and requirements across all product teams
Contact Sales
info@context-analyzer.com
Adopt the Product Context Analyzer to scale user research and standardize the specification of user requirements across your entire product portfolio.
    *We use credit points as a unit for charging the AI power needed to analyze a product context. One credit covers approximately the analysis of one task in detail.
    FAQs
    Frequently asked questions about the Product Context Analyzer
    How does the Product Context Analyzer work?
    The Product Context Analyzer researches public LLM models (e.g. GPT) to analyze a specified context of use. Based on our proprietary algorithms (patent pending) the analyzed data are of amazingly detailed, which is difficult to achieve with traditional user research.
    What information is forwarded to LLM ?
    The Product Context Analyzer is forwarding your initial input to the LLM model (e.g. GPT) as an anomuous query to set the focus for the research. The resulting context and analysis are stored in the Product Context Analyzer.
    What is a Context of Use Description?
    The context of use description describes stakeholders, their tasks, goals, pain points and requirements related to a product. It is the basis for identifying stakeholder needs, understanding task flow, and deriving user requirements.
    What user requirements documents are generated?
    Besides 360° factsheets which describe each identified entity in the context of use, we generate requirements documentation such as journey maps, object maps, user requirements, user stories, and context scenarios.
    What are smart insights?
    Smart insights comprehend the findings into aggregated information such as affinity models, opportunity map, or stakeholder segments to provide you with strategic guidance for your product design.
    In which situation can the Product Context Analyzer support me?
    Whether you want to get an initial understanding of a new domain, or a deeper understanding of user requirements for a familiar domain, the Product Context Analyzer helps you to create professional user requirements documentation at an unprecedented level of detail without having to be an expert.
    What is the difference with using chatGPT?
    Direct use of ChatGPT is not scalable to create a well-structured context of use description with hundreds of information items that can be interactively explored and used to derive requirements.
    How can the analyzed data be further processed?
    The analyzed data can be easily used to create personas, user journey maps, user requirements specification, user story maps and product opportunity maps.
    Is Product Context Analyzer free?
    The Product Context Analyzer is not free because it radically accelerates user research, helps UX organizations to scale, and delivers consistently written user requirements at large scale.
    About us
    Our executive team consists of senior experts and executives in the field of requirements engineering and leading UX organizations.
    Jörg Beringer (CEO)
    Jörg Beringer has decades of international leadership experience roles as UX Chief Architect and Chief Design Officer. He is advising companies on their digital transformation journey to cloud, big data, and artificial intelligence.
    Thomas Geis (COO)
    Thomas Geis has been actively engaged in software and hardware development projects for over 30 years. He has been analyzing hundreds of business contexts from the perspective of product users over long years, working for product manufacturers around the globe.
    Product Context Analyzer
    ProContext Inc.
    377 Roble Ave
    Redwood City
    CA 94061, USA