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JEAN-CHRISTOPHE LAURENT

Jean-Christophe has 20 years of experience at improving business efficiency & managing digital transformations.

As the CEO, he leads the company strategy and is accountable for engagement quality and satisfaction. He manages the consulting skill-building for the Penon Partners team.

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2 tricks to master the Design phase of a project

Key Takeaways

The Design phase is where most transformation programs either gain traction or quietly lose it. Mastering it requires co-constructing use cases with end users, locking governance early, and treating the transition plan as a living decision tool — not a formality.

Introduction

Having led Design phases across multiple large-scale transformation programs, I’ve seen the same pattern repeat: organizations rush through this stage to reach the Build, only to discover that what they’re building doesn’t match what the business actually needs. The Design phase — covering use cases, process maps, operating model, architecture, and transition plan — is where alignment either happens or doesn’t. Here’s what makes the difference.

1. Co-design use cases and process maps with the people who will live with them

The most common mistake in the Design phase is treating it as a top-down exercise. Transformations that involve frontline employees in the design stage have 2.6 times more likely to succeed. In practice, this means running structured workshops — not just interviews — where process owners and end users actively map current-state pain points and co-design future-state workflows. When people see their input reflected in the process map and the RACI, they stop being passive recipients of change and start becoming owners of it. This shift in posture is not a soft benefit: it directly reduces resistance during rollout and accelerates adoption when the Build goes live.

2. Design the operating model before touching the architecture

This point trips up more programs than any technical issue. Teams often jump into system and architecture design before the operating model — roles, responsibilities, decision rights — is agreed upon. The result: up to 40% of ERP and digital platform implementations require significant rework due to misaligned governance assumptions (Gartner, 2023). In my experience, the RACI is not a bureaucratic deliverable — it is the backbone of every downstream design decision. Lock it first, even provisionally, and your architecture choices become dramatically clearer. As noted in Transformation Is No Longer a Project, governance structures must be embedded early to sustain momentum. At Penon Partners, we systematically sequence operating model validation before any system design sprint begins — and it consistently saves weeks of rework.

Conclusion

The Design phase is not a checkpoint — it is the strategic foundation of your entire program. Get the co-design dynamics right, sequence your operating model before your architecture, and treat your transition plan as a live instrument. These three disciplines separate programs that launch with momentum from those that stall before the Build even begins.

FAQ

What is the main goal of the Design phase in a transformation project?

The Design phase defines use cases, process maps, operating model, and architecture before the Build begins. Done well, it aligns all stakeholders on a shared blueprint — reducing costly rework and accelerating implementation by up to 30%.

How long should the Design phase of a project typically last?

There is no fixed rule, but most mid-to-large transformation programs allocate 6 to 12 weeks for Design. Rushing this phase to reach the Build faster is one of the top causes of program failure and scope creep downstream.

What is the biggest risk during the Design phase of a digital transformation?

The biggest risk is locking architecture before the operating model is validated. According to Gartner (2023), misaligned governance assumptions cause significant rework in nearly 40% of digital platform implementations. Sequence governance first, then systems.

Is your Design phase setting your program up for success — or storing up problems for the Build?
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