Features of Product Context Analyzer

One Research Prompt Delivers All You Need

Generate professional user research deliverables at the speed of agile

Task Diagram

See the key aspects of a task including user profile, subtasks, resources, and outcomes at a glance

Task Objects

Document task objects to define a human-centred data model and guide UI presentation

As-Is Scenario

Use authentic stories to help your team understand the user context through real task examples

User Needs

Study user needs to generate product ideas grounded in true needs

User Requirements

Base your design on explicit user requirements to ensure all user needs are satisfied

Journey Map

Model the end-to-end process to expand design scope beyond single tasks and users

Desired Outcomes

Capture the desired outcomes users aim for to make goal-oriented design decisions

Decision Loops

Identify decision-making needs in task flows to reveal opportunities for AI support

Conceptual Model

Model task object relationships to align IA and navigation with the user's conceptual model

Domain Brief

Understand the big picture of the domain from a human-centred perspective

User Story Map

Structure user stories by subtasks to ensure the UI supports the entire task flow

UX Prompt

Turn user research into task-specific guidance for AI design tools

Stakeholder Map

Map the larger stakeholder landscape and reveal opportunities to serve new users

Persona Profile

Create rich authentic user profiles to understand the point of view of a user group

Empathy Map

Map a persona’s emotional drivers to anticipate how they respond to design decisions

Affinity Diagram

Cluster observational data into themes to surface strategically relevant quality dimensions

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.
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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.

Direct Support for Agentic AI

Tailor user research output to support agent design

COGNITION

Decisions-to-be-Made

Identify the decisions users make while performing a task and model them as decision loops

  • What information is needed to make the decision
  • What rationale drives the decision making
  • What actions could be taken
CONTEXT

UX Prompts

Export task-domain context and detailed task flows as structured prompts (UX.md) for generative AI design tools

  • General description of the task domain
  • Detailed User Requirements for a to-be-design UI
  • User stories that a generated UI should support
AGENTIC

Agent Requirements

Draft an Agent Requirement Document (ARD) describing agents required to support a task domain (coming soon)

  • Functional agents required to perform or support specific tasks
  • Governing and coordinating agents required to orchestrate activities across agents
  • Decision loops defining how agents use information, make decisions, and initiate actions

Context-of-Use Knowledge Graph

Understand how people, flow, and data are connected

Navigate by

Stakeholders

Explore the stakeholder landscape beyond the primary user to design for the broader ecosystem around your product.

TASKS

Explore the tasks stakeholders perform and how they connect into larger activities to understand how work is done.

Task Objects

Explore the objects that stakeholders interact with while performing tasks to uncover the underlying conceptual model.

Product Context Analyzer
ProContext Inc.
377 Roble Ave
Redwood City
CA 94061, USA