Journey Management and
Decision Intelligence Glossary

Journey maps created directly from workshop findings, allowing teams to quickly turn ideas, inputs, and stakeholder contributions into practical journey maps.

Structured plans that connect journey insights to the work required to improve the customer experience, including ownership, progress tracking, and execution status.

Recommended next steps generated from journey insights, opportunities, or AI analysis to help teams move from understanding a problem to doing something about it.

A workshop method for grouping related ideas, observations, or inputs into meaningful clusters so teams can identify patterns and build consensus.

AI-powered assistants that help teams ask questions across workspaces, journeys, personas, workshops, insights, recommendations, and related journey data.

The use of AI to help teams create, interpret, prioritize, communicate, and govern journey work faster and with more evidence.

Data that helps teams understand customer behavior, journey performance, friction points, engagement, conversion, adoption, and business impact.

The practice of connecting journey decisions, improvements, and actions to measurable business outcomes.

The measurable results an organization wants journey improvements to influence, such as revenue, retention, loyalty, cost reduction, adoption, satisfaction, or operational efficiency.

Custom groupings used to organize journeys, Journey Atlases, insights, recommendations, or related work in a way that reflects how the organization manages customer experience.

The process of responding directly to customer feedback, taking action, and using what is learned to improve the experience.

The ability for teams and stakeholders to work together in JourneyTrack through comments, tagging, workshops, shared views, and connected workflows.

External files, tools, dashboards, boards, documents, tickets, or data sources linked directly to journey work so teams can keep context and supporting evidence together.

Journey-related data brought into JourneyTrack from systems such as VoC platforms, analytics tools, data warehouses, research tools, and work management systems.

The ongoing process of updating journeys, measuring impact, learning from results, and applying what works across the journey ecosystem.

The experience customers have as they interact with an organization across moments, touchpoints, channels, people, products, services, and systems.

The set of practices an organization uses to intentionally design, measure, improve, and govern the experiences it delivers.

The path a customer takes to accomplish a goal with an organization, including the moments, needs, emotions, pain points, and outcomes that shape the experience.

The practice of tracking and analyzing how customers interact with an organization across channels and over time.

A visual representation of the customer journey that helps teams understand what customers are trying to do, where friction exists, and where improvement opportunities may be found.

A specific point in the journey where a customer interacts with the organization, experiences friction, forms a perception, or makes progress toward a goal.

The practice of organizing, maintaining, governing, improving, and measuring customer journeys as an ongoing enterprise discipline.

A shorthand term for customer experience.

The use of journey insight, data, collaboration, and action planning to improve customer experiences in ways that are measurable and aligned to business goals.

The structure, standards, roles, permissions, ownership, and decision rights that help organizations manage journey work consistently across teams.

A centralized location for customer experience data, research, insights, and related information that helps teams create richer, more evidence-based journeys.

JourneyTrack’s AI capability for creating personas from research data, either from known criteria or by uncovering personas directly from raw data.

The gap between having journey data, dashboards, maps, and insights, and having a clear system for deciding what to fix, fund, execute, and measure.

The discipline of improving how decisions are understood, modeled, governed, supported, automated, measured, and optimized.

The discipline of systematically deciding which customer journey moments to fix, in what order, with what expected outcomes, and measuring whether those fixes work before scaling.

Software that helps organizations design, model, support, augment, automate, monitor, and improve decision-making using data, analytics, knowledge, AI, governance, and outcome feedback.

A structured representation of the inputs, rules, logic, options, dependencies, owners, assumptions, and expected outcomes involved in making a decision.

JourneyTrack’s approach to turning journey evidence into accountable, measurable action through connected layers of insight, governance, prioritization, workflow, measurement, and activation.

Clear ownership over who has authority to make, approve, prioritize, fund, or act on journey-related decisions.

The layered operating model JourneyTrack uses to move from evidence to activation, including insight and evidence, governance and prioritization, execution and workflow, measurement, and downstream activation.

A governed way to evaluate journey evidence, prioritize what matters, assign ownership, execute improvements, and measure results.

JourneyTrack’s assessment designed to help organizations understand their maturity in making governed, measurable customer journey decisions.

The process of sending validated journey decisions, insights, or actions into the systems and teams responsible for execution, orchestration, analytics, or experience delivery.

Journey intelligence that can be updated, enriched, and refreshed as new customer data, research, insights, metrics, or feedback become available.

A persona created by AI through analysis of raw research or customer data, rather than from predefined persona criteria.

The ability to manage journey work at scale through roles, permissions, standards, statuses, ownership, lifecycle management, and consistent operating practices.

The shared foundation of journeys, personas, VoC, analytics, research, operational data, and metrics used to inform customer journey decisions.

The ability to connect insights, recommendations, actions, and decisions back to the data or context that supports them.

The process of moving prioritized journey decisions into action through owners, tasks, tickets, work management tools, and progress tracking.

The customer or business results a team expects to achieve from a journey improvement before investing time, budget, or resources.

Anything in the journey that slows customers down, creates confusion, increases effort, causes dissatisfaction, or prevents the desired outcome.

The layer of journey decisioning where teams define who decides what, establish standards, score opportunities, and prioritize moments by expected value.

The practice of tracking whether journey improvements changed the metrics, behaviors, or business outcomes they were designed to influence.

JourneyTrack’s AI capability for importing existing journey maps, personas, or workshop artifacts from PDF or image files.

The journey data, research, VoC, analytics, metrics, and qualitative findings used to understand what is happening and why.

Meaningful findings about customer needs, pain points, behaviors, emotions, expectations, or opportunities across the journey.

JourneyTrack’s AI capability for analyzing unstructured data to uncover insights and refresh journeys.

A connection between JourneyTrack and an external system, such as a VoC platform, analytics tool, design tool, data warehouse, or project management system.

A change made to a journey, journey step, action, process, or experience based on insight, prioritization, or business need.

The use of customer, behavioral, operational, and performance data to understand how journeys are performing and where improvement may be needed.

A portfolio-level view of projects, journeys, and related action plans that helps teams understand how journeys connect across business touchpoints.

The connected set of journeys, personas, insights, metrics, actions, teams, systems, and decisions that shape customer experience across the organization.

The data, insights, feedback, research, metrics, and context used to support a journey decision.

Metrics that help teams identify which journeys are performing well and which journeys need attention.

JourneyTrack’s capability for uncovering the relationship between journey adjustments and changes in the key metrics that matter most.

Evidence, data, and AI that help teams understand what is happening in the customer journey and why.

A shared operating model for organizing, maintaining, governing, improving, and measuring journeys over time.

A visual artifact that captures the customer’s experience, including journey steps, needs, pain points, insights, opportunities, and related data.

The process of creating a visual representation of the customer journey to understand the experience and identify opportunities for improvement.

A specific point in the customer journey that can be understood, prioritized, improved, measured, and connected to business outcomes.

The coordination of customer interactions, systems, and actions across channels or platforms. In JourneyTrack’s context, orchestration is often part of the broader ecosystem that can be informed by governed journey decisions.

A major phase or grouping within a journey that helps teams organize the customer’s progression across the experience.

The suite of AI capabilities in JourneyTrack that helps teams create journeys and personas, uncover insights, generate recommendations, group workshop inputs, label content, import artifacts, and communicate journey work.

The foundational stage of journey work where teams map, research, and analyze what customers experience.

The customer, operational, behavioral, or business measures used to evaluate journey performance and improvement impact.

JourneyTrack’s AI capability for categorizing and organizing insights and recommendations across workspaces.

A journey map that can evolve over time as new data, insights, feedback, metrics, or decisions become available.

The shift from static journey documentation to governed, measurable decision-making about what to fix, fund, execute, and scale.

The layer of journey decisioning where teams track whether completed actions moved the outcomes they were expected to influence.

JourneyTrack’s capability for measuring what matters through customizable metrics and visual representations.

A pivotal point in the journey where the customer forms, changes, or confirms their perception of the brand.

A journey moment, pain point, gap, or improvement area that has potential value for customers and the business.

A prioritization method based on Ulwick's Jobs-to-be-Done framework that helps teams evaluate and rank pain points, gaps, or next steps according to customer and business needs.

Business or process data that helps teams understand how the organization is performing behind the customer experience.

The practice of defining the customer and business outcomes a journey improvement is meant to influence, then measuring whether the action achieved the expected result.

The practice of evaluating whether journey improvements produced the expected customer or business results.

Research-informed representations of customer types, users, or audiences that help teams understand needs, goals, motivations, pain points, and jobs to be done.

JourneyTrack’s AI capability for accelerating persona creation using either structured inputs or research data.

The ability to manage personas across the organization, including which personas are shared broadly, tied to a specific journey, or restricted to a workspace.

The process of deciding which journey moments, opportunities, actions, or investments should come first based on evidence, impact, effort, risk, and business value.

A structured view that helps teams compare opportunities or actions so they can focus on the work most likely to create value.

Connections between JourneyTrack and systems such as Jira, Azure DevOps, Asana, Monday.com, Airtable, Notion, or Planview AgilePlace to help teams operationalize improvements and track execution.

JourneyTrack’s AI capability for creating a proto persona from a few quick details, such as role, industry, goal, demographics, motivations, pain points, and jobs to be done.

The ability for teams to collaborate together as journey work evolves, including comments, tagging, workshops, and shared access.

Suggested actions or improvements generated from journey insights, customer data, or AI analysis.

JourneyTrack’s AI capability for analyzing insights and generating recommendations tailored to the organization’s industry and business needs.

Customer, user, or market information used to inform journeys, personas, insights, recommendations, and decisions.

The specific situation, need, or goal that frames a journey.

A structured view of the customer-facing journey alongside the people, processes, systems, policies, roles, and behind-the-scenes work required to deliver it.

A centralized foundation of journey data, insights, personas, research, VoC, operational data, analytics, and metrics that teams can use to make better decisions.

A centralized place where teams can access customer experience data, insights, journeys, metrics, and supporting evidence.

Traditional journey mapping that produces a picture of the customer journey but does not necessarily connect that map to decisions, ownership, action, or measurement.

Metrics assigned to individual steps in the customer journey so teams can see where the journey succeeds, stalls, or creates friction.

JourneyTrack’s AI capability for turning journey work into business-forward presentations, reports, narratives, impact summaries, and executive-ready stories.

A connected journey within a larger journey ecosystem that helps teams capture the interconnected nature of customer experiences.

Customer or business metrics used to measure whether CX work is achieving the intended result.

The practice of evaluating whether a journey fix is likely to work before scaling it across teams, channels, or journeys.

A specific interaction between a customer and the organization within a journey.

Raw customer or research data, such as notes, transcripts, feedback, survey responses, or documents, that can be analyzed to uncover insights.

Tools used to collect or manage customer and user research that can inform journeys, personas, insights, and decisions.

Voice of the Customer data, including customer feedback, survey responses, satisfaction metrics, sentiment, and other signals that help teams understand the customer experience.

Connections between JourneyTrack and Voice of the Customer platforms or tools, such as Qualtrics, Medallia, and Forsta, allowing teams to bring customer data and metrics into journey context.

External systems used to manage tasks, tickets, workflows, and execution, such as Jira, Azure DevOps, Asana, Monday.com, Notion, or Planview AgilePlace.

The process for routing journey decisions, actions, and tasks to the right teams or systems so improvements can be executed and tracked.

Separate areas in JourneyTrack that teams can use to organize journeys, personas, insights, workshops, data, and work by team, process, client, or business need.

A collaborative session in JourneyTrack where stakeholders contribute ideas, vote, group inputs, and convert findings into journey maps.

JourneyTrack’s AI capability for organizing raw workshop inputs into meaningful clusters and generating summaries for each group.