It’s Time To Elevate Journeys Into Decision Systems

· Source: Featured Blogs - Forrester · Field: Business & Management — Corporate Strategy & Leadership, Operations & Process Management, Project & Product Management · Depth: Intermediate, quick

Summary

Forrester advocates elevating customer journey maps from standalone CX deliverables to "journey decision systems," an operating model that embeds customer context into organizational decision-making. This shift addresses the common problem where journey insights fail to influence priorities, funding, and delivery because decisions are made before CX input. A journey decision system creates a common view of priority journeys, outcomes, and value streams, aligning various maps and metrics across the enterprise. It surfaces journey context directly where decisions are made, connecting stakeholders like finance, product, and operations around shared value. For instance, one bank reduced onboarding from 30 days to two by adopting this approach, transforming it from a CX initiative into a business decision. The article suggests starting by solving one specific customer problem, framing it around existing leadership concerns, and embedding journey context into current decision forums.

Key takeaway

For executives overseeing cross-functional initiatives, recognize that customer journeys are strategic decision systems, not just CX tools. By embedding journey context into your existing portfolio reviews and funding discussions, you can align disparate functions like risk, IT, and sales to drive shared customer and company value. This approach exposes critical trade-offs and ensures decisions optimize end-to-end customer outcomes, preventing fragmented efforts that inadvertently create customer pain.

Key insights

Elevating customer journeys into decision systems integrates customer context directly into business priority setting and resource allocation.

Principles

Method

Implement a journey decision system by creating a common view of priorities, aligning various maps and metrics, and surfacing customer context where decisions are made across functions.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Executive, Consultant, Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by Featured Blogs - Forrester.