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Free Guide — Planet-Based Design

Planet-Based Set-Based Design

Make learning visible before you narrow. How to keep all five sustainability domains open simultaneously, avoid design waste, and narrow to the right solution — not just the fastest one.

Introduction to Planet-Based Set-Based Design — the case for keeping options open before you narrow.

Download Templates & Tools

Material Candidate Rubric, Disposition Lanes Board, Planet-Based A3 worksheet — Google Drive folder, free to copy.

Why It Matters

The Decision Problem

"Most companies don't have a sustainability problem. They have a decision-making problem."

Sustainable design fails when teams commit too early. A material gets chosen in week two. A process route gets locked before manufacturing is in the room. An architecture decision settles before anyone has tested the lifecycle assumptions. Each early commitment closes a door — and behind those doors are often the best options.

The result is predictable: teams spend late-stage resources on workarounds rather than solutions. Regulatory requirements tighten, supplier materials change, and circular economy targets arrive after the design is frozen. You're not failing because you didn't care about sustainability. You're failing because the system forces premature decisions.

Design waste in sustainable development — Every option explored and abandoned without learning something useful is waste. Every decision made before the team had the information to make it well is waste. Planet-Based Set-Based Design eliminates both by treating option-keeping as a discipline, not an indecision.

Point-based sustainable design picks one direction and refines it. When that direction hits a constraint — a supplier gap, a process incompatibility, an end-of-life problem — the team either backtracks expensively or ships a compromise. Set-based design changes the question from "which option is right?" to "what do we need to learn before we narrow?"

The Approach

The Core Shift

Planet-Based Set-Based Design applies set-based concurrent engineering to sustainability. Instead of converging on one sustainable solution path, teams define a set of viable candidates across multiple domains and narrow systematically — using learning, not assumptions, as the convergence signal.

Point-Based Approach Set-Based Approach
Pick the "best" sustainable material in week 2 Define 3–5 material candidates; narrow after supplier testing
One process route evaluated in depth Multiple process routes sketched, lensed, eliminated by data
Circularity retrofit at end of design End-of-life scenarios included from the first set
Business model decided before product architecture Business model options kept open until architecture stabilises
Sustainability = compliance checkpoint Sustainability = shared constraint across all design domains
Late-stage sustainability discovery Front-loaded option exploration
Decisions driven by momentum Decisions driven by learning
Sustainability as trade-off Sustainability as shared design space
One team, one view Cross-functional set ownership

The Solution Space

Five Sustainability Domains

Planet-Based Set-Based Design keeps five domains open simultaneously. Most approaches focus on one — usually materials. That's where the design waste hides. A great material choice attached to the wrong architecture, the wrong process, or the wrong business model is still a bad outcome.

1. Product Architecture 2. Material System 3. Manufacturing & Process 4. Use, Service & Circularity 5. Business Model & Supply Network

Domain 1

Product Architecture

Modularity, disassembly, repairability, and platform choices. Architecture decisions lock in nearly every downstream sustainability outcome — keep them open longest.

Domain 2

Material System

Candidate materials scored across embodied carbon, recyclability, toxicity, supply security, and processability. Tracked with a structured rubric, not gut feel.

Domain 3

Manufacturing & Process

Energy intensity, scrap rates, process compatibility with chosen materials, and supplier sustainability credentials. Process routes evaluated concurrently with product options.

Domain 4

Use, Service & Circularity

In-use environmental impact, serviceability, take-back routes, remanufacturing viability, and end-of-life disposition. These options are only available if the architecture allows them.

Domain 5

Business Model & Supply Network

Ownership vs. access models, supply chain sustainability, traceability requirements, and regulatory positioning. Business model shapes what sustainability the company can actually deliver — and capture value from.

The constraint across all five domains: every option kept alive must be feasible to explore with the team's current capacity and timeline. The discipline is not keeping everything — it's keeping what you can actually learn from before the next narrowing gate.

The Method

The Planet-Based A3 Learning System

The Planet-Based A3 is a single-page learning system that tracks the team's knowledge state across all five domains, stage by stage. It's not a deliverable — it's a working document that makes uncertainty visible so the team can decide what to learn next.

There are five stages. Each stage has a clear entry condition, a learning question, and an exit condition. A low-confidence score at stage exit is not failure — it's a signal to run another learning loop before narrowing.

A
Understand — What problem are we actually solving?
Customer and societal context, regulatory landscape, existing product lifecycle data, and supply chain baseline. Define the five-domain set for this project. No narrowing yet.
B
Explore — What options exist across all five domains?
Divergent generation. Sketch at least three candidates per domain. Use the material rubric for Domain 2. Populate disposition lanes with early impressions. Resist elimination at this stage.
C
Learn — What do we know, and what are we guessing?
Structured learning activities: supplier testing, prototype experiments, LCA estimates, circular economy scenario modelling. Score each candidate against rubric criteria. Update confidence levels.
D
Compare — What does the learning reveal?
Cross-domain comparison. Use disposition lanes to group candidates: proceed, watch, eliminate, redesign. Look for cross-domain dependencies: a material choice that enables or blocks a circularity option.
E
Narrow — What can we responsibly commit to?
Converge on the set with the highest knowledge confidence. Document what was learned and why alternatives were eliminated. Low confidence = run another C–D loop before committing.
Confidence scoring matters: teams that skip Stage C tend to eliminate options based on preference, not evidence. The rubric forces the question: "Is this a data-based elimination, or are we just more comfortable with this option?" If you can't answer that, you haven't learned enough yet.

Tools & Templates

What You'll Work With

Two core visual tools support the learning system. Both are designed to be used on a physical or digital wall — not as spreadsheets.

Material System Rubric Template

Material System Rubric

Score each material candidate across six criteria: embodied carbon, recyclability, toxicity profile, supply security, processability, and circular end-of-life fit. Supports structured comparison at Stage D.

Disposition Lanes Board

Disposition Lanes Board

Four lanes: Proceed, Watch, Eliminate, Redesign. Each option in the set gets a card. Cards move between lanes as learning accumulates. Makes the team's evolving knowledge state visible to everyone.

Template 3

Planet-Based A3 Worksheet

Single-page A3 format. Sections for all five domains, confidence scores per stage, and the learning question and exit condition for each stage A–E.

Template 4

Domain Set Canvas

Map your option set across all five domains in one view. Highlights cross-domain dependencies — e.g. a material choice that blocks or enables circularity options.

Template 5

Learning Sprint Planner

Plan the activities, owners, and timeline for a Stage C learning sprint. Output: updated rubric scores and revised disposition lanes ready for Stage D comparison.

All Templates — Google Drive Folder

Free to copy and adapt. Includes all five templates plus a quick-start guide for your first Planet-Based A3 session.

Audience

Who This Is For

Planet-Based Set-Based Design is most useful when you're in the early-to-middle phases of product development — after you know what problem you're solving, but before architecture and material decisions become expensive to reverse.

Product Leaders Running development programmes where sustainability is a stated goal but keeps getting deferred to "after the first release."
Development Engineers Working on architecture or material selection and want a structured way to keep options open without slowing the team down.
Sustainability Managers Trying to move from compliance reporting to upstream design influence — before the critical decisions are already made.
Operations & Manufacturing Being handed designs that can't be produced cleanly and want to be in the room when process options are still being set.
LPPD Coaches Looking for a concrete application of set-based concurrent engineering in a sustainability context.
Supply Chain Teams Owning supplier sustainability credentials and wanting those constraints visible to design teams before commitments are made.
The goal is not the greenest-looking material. The goal is a product system — architecture, materials, process, lifecycle model, and business model — that performs sustainably as a whole. That requires cross-functional ownership of the set from the start.

Getting Started

What Changes Monday Morning

You don't need a new development process to start. These six actions work inside any existing programme.

1
Map your current option set. List every material, process, and architecture decision that is still open on your current project. That's your starting set. If the list is short, that's a diagnostic signal.
2
Set up disposition lanes. Print or draw four swim-lanes: Proceed / Watch / Eliminate / Redesign. Place one card per open option. Revisit in your next design review.
3
Score your material candidates with the rubric. Pick the top three material options on your current project. Score each against the six rubric criteria. The gaps in your knowledge will show up immediately.
4
Bring the five domains into your next design review. Ask explicitly: "Which of the five sustainability domains have we looked at this sprint? Which haven't we touched?" One question changes the agenda.
5
Plan a Stage C learning sprint. Identify the two or three most uncertain options in your set. Design a focused sprint — experiments, supplier calls, LCA estimates — to raise confidence before the next narrowing gate.
6
Document eliminations. Every time an option leaves your set, write down why — data-based or assumption-based. That record is what lets you reopen options responsibly if conditions change.