Professional Requirements Documents
generated in minutes based on one single prompt that describes your use case
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.
Stakeholders Profiles
Get profiles of all stakeholders that are directly or indirectly related to your product context.
Detailed Task Flow
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 the 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 Map
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.
Cognitive Task Analysis
Get a list of cognitive tasks that could be supported by intelligent system agents in the form of automated decision loops.
Affinity with Key Issue Areas
Get a grouped list of key issues and pain points that design should improve.
Affinity with Key Quality Dimensions
Get a list of key desired outcomes and goals where design should focus on.
Analyze Interviews with one Click
Automatic extraction and structuring of information 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.
>>>>>
... 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 YOUR DISCOVERY
with Product Context Analyzer
Enjoy a break
while your analysis is running
Subscription Plans
Flexible monthly or annual plans for radically accelerating your UX research.
Free Trial
Sign-up and test Product Context Analyzer with your own use cases for 14 days.
free 14 days
limited to new users
Includes 50 research credits*
- All features included
Professional
Automate labor-intensive steps within your user research, analysis, and synthesis.
starting from 40 USD
per month with annual plan
Includes 100 research credits*
- Context Discovery
- Interview Analysis
- Stakeholder Analysis
- Task Analysis
- Requirements Analysis
- Generation of User Stories
- Generation of Key Insights
*We use credit points as a unit for charging the AI power needed to analyze a product context. One credit covers approximately corresponds with the analysis of one task. Credits points included in the subscription expire with each subscription period. Additional research credits are available to purchase to cover more demand.
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 anonymous 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.