Redesigning Client Collaboration: From "Big Reveal" to 12-Week Cycles in PDLC

For many teams, client collaboration still follows a familiar pattern: long discovery, heavy specs, and a polished "ta-da" moment at the end.

That model is starting to break.

Big reveals stack risk at the end, delay meaningful feedback, and expose misalignment when it's most expensive to fix. In a world of faster change, AI-accelerated delivery, and hybrid product teams, collaboration needs a different rhythm.

In this session, Alicia Calderón (Design Strategy Lead at Miyagami) shares how client work is shifting from one-off reveals to repeatable 12-week collaboration cycles across the product development lifecycle (PDLC), built around Discovery, Design, and Development sprints.

You'll see how this cadence creates earlier visibility, reduces delivery risk, and makes stakeholder input more useful. Alicia also covers where AI and hybrid product roles fit into the model, and how tools like Miro support more transparent, continuous collaboration.

The focus is on moving away from static, spec-heavy projects toward a delivery model that keeps clients aligned from start to finish.

What you'll take away:

• A clear understanding of why the "big reveal" model breaks down in modern client work
• A practical 12-week collaboration cadence you can apply across the PDLC
• Better ways to create visibility and invite meaningful stakeholder feedback earlier
• Insight into how AI and hybrid roles support continuous collaboration, not chaos

This session is part of Miro Reframe, a webinar series for consultants and agencies rethinking what great client work looks like in the age of AI.