Design 3P: Make the Product Buildable Early

Design 3P is where industrialization stops being a downstream handoff and becomes part of design work itself. Instead of waiting until detailed design or launch to discover that a concept is difficult to build, expensive to assemble, fragile in quality, or awkward for operators, Design 3P brings those realities into the conversation while the concept is still flexible enough to improve.

The logic is simple: most lifetime cost, quality, and safety performance are largely locked in before the first unit is built, so the best time to improve the production system is while the product concept is still taking shape.

The event itself is intentionally practical. The team aligns on the concept and the preliminary manufacturing plan, identifies the design elements most likely to drive poor cost or quality outcomes, prioritises the opportunities worth deeper attention, and then works through a small number of high-leverage alternatives.

The output is not a polished report. The output is a clearer manufacturing concept, a short list of design changes or questions worth pursuing, and a clean handoff into Process 3P.

Design 3P belongs at the point where the product concept is real enough to reason about, but not so fixed that change is painful. In practice, that means scheduling the event when the conceptual design is roughly 70–80% defined: the main functions, architecture, and key components are visible, but major design decisions and capital commitments are still open.

Design 3P is successful when it leaves the team with a clear, prioritised, and actionable picture of how the product concept should change to be easier, cheaper, and more reliable to build. At minimum, the event must produce three things:

Beyond the technical outputs, Design 3P should also deliver commitment and clarity: visible actions with owners and due dates, a short management read-out, and a shared understanding that the event’s results will be used, not shelved.

Scope the event to a level where the team can do meaningful work in a day or two: one product, one major subsystem, or one family of similar variants. Define a simple target condition, such as: “By the end of the event, we have a ranked CTQ/CTC list and two Quick-Look cycles completed on our top issues.”

Participants need enough information to reason about design, cost, and manufacturing without getting lost in detail. Prepare: a market requirements brief, key engineering requirements and interfaces, current design concepts (sketches, CAD views, mockups), a preliminary manufacturing plan, and relevant quality and warranty history on similar products.

A Design 3P event “lives or dies by who is in the room.” The core team should include product design, manufacturing or process engineering, operations representatives, quality or reliability, and supply chain or purchasing. Where possible, invite key suppliers and operators or technicians with experience on similar products.

Map the product into a handful of major functions in simple verb–noun language such as “convert power”, “protect electronics”, “support load”, or “seal interface”. This helps participants see the underlying purpose of each part or module, which later makes it easier to rethink how those functions might be achieved.

Cover where you expect to manufacture, at what volume and takt time, the line or cell concept, key capital assumptions, and important constraints around part commonality or legacy processes. The purpose is not to defend a finished plan but to make visible the assumptions that have quietly accumulated around the design.

Provide a short trigger list based on experience from similar products: complex fastening or joining strategies, tight tolerances or fragile interfaces, hard-to-access service points, high manual handling, known problem technologies or suppliers. Give everyone quiet time to write CTQ/CTC opportunities individually on sticky notes (one opportunity per note), then post, explain, and group into themes.

Each CTQ/CTC opportunity is scored on two dimensions, each on a 1–5 scale:

APN = Impact × Ease. Higher APN indicates a better candidate for attention now. Work through the full list as a group, voting on Impact and Ease for each item. Aim for pragmatic ranking at moderate precision, not perfect agreement.

Pick one high-APN opportunity and describe what the design element must do in verb–noun terms: “protect electronics”, “position connector”, “seal against moisture”, “support load during transport”. Strip away current shape, material, and implementation details to open up design space and make non-obvious alternatives visible.

Brainstorm genuinely different ideas — not small tweaks. Redesign to combine functions, split functions across parts, change materials or manufacturing processes. Then set up a small matrix with the current design as baseline and each alternative along the top. Rate each against the baseline: “+” if better, “S” if similar, “–” if worse. Options with clearly more “+” than “–” become candidates for further engineering analysis.

Document the full opportunity list with APN rankings, marking which items were addressed in depth and which remain as follow-up. For each element that went through Quick-Look, record the functions, the alternatives considered, the decision matrix summary, and which alternatives were selected for further engineering and why. Keep each summary to a page or less.

Translate the outputs into a simple action list with what, who, and by when. Prepare a short management read-out (10–15 minutes): state the event purpose, highlight top CTQ/CTC opportunities discovered, show one or two concrete example changes, and clarify proposed next steps and any decisions or support requested.

Design 3P is not a standalone exercise. Its outputs are direct inputs to Process 3P and Production 3P:

Over time, Design 3P outputs can also feed a knowledge brief library: a reusable set of CTQ/CTC themes and successful design alternatives that accelerates future projects facing similar challenges.

Teams running Design 3P for the first time often fall into a few predictable traps. Calling them out explicitly — and designing around them — makes each subsequent event more effective.