LA NPDT: LA New Product Development Team
About Us
  • Info & History
  • Testimonials
  • Careers & Internships
  • FAQ
Services
  • Product Discovery
  • Product Design
  • Industrial Design
  • Prototyping
  • Silicone Rubber
  • Manufacturing
  • Research
  • Consulting
  • View All
Our Work
  • Personal Care
  • Pet Products
  • Sports & Fitness
  • Product Packaging
  • IoT & Consumer
  • Medical Devices
  • Industrial Equipment
  • Food & Beverage
  • Toys & Games
  • Home & Housewares
  • Baby & Juvenile
  • Outdoor & Hunting
  • Funded Startups & Grants
  • SBIR & Grant-Funded Projects
  • Health & Wellness
  • All Projects
Insights
  • Articles
  • Best Product Development Companies
  • Best Product Design Companies
  • Best Invention Help Companies
  • Medical Device Design Companies
  • Best Prototyping Companies
  • Prototype Development Companies
  • Product Engineering Companies
  • Product Development in Louisiana
  • YouTube Channel
  • Market Reports
Tools
  • Product Name Generator
  • Free US Trademark Search
  • AI Invention Idea Analyzer
  • US Patent Search
  • AI Product Idea Generator
  • Prototype Cost Calculator
  • Product Design Cost Calculator
  • AI Prototype Engineer
  • All free tools
Contact Us
  • Contact us
  • Book a consultation
  • Request a quote
  • Apply to Partner with Us
318-200-0526Apply to Partner

Let’s build
your next product.

Apply to Partner→

Awards and Recognitions

  • Google Reviews★★★★★5.0 (45 Reviews)
  • Shopify Top Product Development FirmTop Product Development Firm
  • Entrepreneur 360 Top Product Development CompanyEntrepreneur's 360 Top Product Development Company
  • BBB Accredited Business★★★★★A+ Rating
  • Cad Crowd Top Product Design CompanyCad Crowd Top Product Design Company

Company

  • About Us
  • Solutions Overview
  • Testimonials
  • Inventor Stories
  • Blog
  • Video Library
  • FAQ
  • Careers & Internships

Services

  • Product Discovery
  • Product Design
  • Prototyping
  • Silicone Rubber
  • Manufacturing
  • Market Research
  • All Services

Industries

  • Medical Devices
  • Personal Care
  • Sports & Fitness
  • Product Packaging
  • IoT & Consumer
  • Our Work

Tools

  • Product Name Generator
  • Free US Trademark Search
  • AI Invention Idea Analyzer
  • US Patent Search
  • AI Product Idea Generator
  • Prototype Cost Calculator
  • All Free Tools

Get in Touch

  • 318-200-0526
  • 419 Dan Reneau Dr, Ruston, LA 71270
  • Mon–Fri, 10am–6pm Central
  • Contact Us
  • Book a Consultation
  • Service Areas

© Since 2015 by LA NPDT  ·  Privacy Policy · Terms & Conditions · Site index · Newsletter · Cookies · Returns · Shipping

LA NPDT on LinkedIn·Born in Louisiana, making impact worldwide.

  1. Home
  2. /
  3. Insights

How to Choose Between Competing Concept Designs

Early product development decisions—especially during concept selection—have a significant impact on the final outcome.

June 4, 2025·8 min read

Konstantin Dolgan

Written by Konstantin Dolgan, Ph.D., NPDP

Founder & CEO, Product Development Engineer

Published June 4, 2025 · Updated September 2, 2026

Key takeaways

  • A worked weighted concept selection matrix. The matrix earns its keep only when the weights are agreed before anyone scores.
  • Where concept selection matrices go wrong. Scoring after the decision. If the matrix is built to justify a choice already made, it produces confidence rather than information.
  • What to do when the matrix does not decide it. A close result is information, not a failure.
  • Sources and standards. Industrial Designers Society of America — Professional body for industrial design practice in the US.
  • Building a concept selection matrix that survives scrutiny. A concept selection matrix converts an argument into a calculation, but only if the criteria and weights are agreed before the concepts are scored.

In this article

  1. 01
    Concept Prioritization Frameworks
  2. 02
    A worked weighted concept selection matrix
  3. 03
    Where concept selection matrices go wrong
  4. 04
    What to do when the matrix does not decide it
  5. 05
    Frequently asked questions
    • Why is concept selection important in product development?
    • What are some common challenges in concept selection?
    • Which methods can help in choosing between competing concept designs?
    • What are the first steps when applying concept selection methods?
    • What is the purpose of Pugh's Method?
  6. 06
    Sources and standards
  7. 07
    Building a concept selection matrix that survives scrutiny
  8. 08
    Example weighted matrix
  9. 09
    Matrix discipline checklist
  10. 10
    Key takeaways
  11. 11
    Running the review session itself
  12. 12
    What happens to the concepts you did not pick?

Introduction

After successfully exploring product ideas and generating concepts, teams often find themselves overwhelmed by the many potential directions their organization could take. In today’s highly competitive market, businesses must consistently develop high-quality innovations that meet customer expectations while ensuring sustainable profitability.

Early product development decisions—especially during concept selection—have a significant impact on the final outcome. As a result, this phase has drawn considerable interest within the field of design science.

Importance of Concept Selection

Concept development is widely considered one of the most challenging and crucial stages in the product creation process, shaping the cost, manufacturability, reliability, and development timeline.

It’s a well-established principle that engineering changes made later in development cost exponentially more. Therefore, the concept selection phase—where designers evaluate options against customer needs and design objectives—is essential. This phase includes comparing alternatives, assessing strengths and weaknesses, and selecting candidates for further refinement and testing.

Challenges and Decision-Making Tools

Designers often must make critical decisions with limited information. To support objectivity and accuracy in concept selection, various methodologies have been developed, including:

  • Pugh’s Concept Scoring Method
  • Weighted Rating Method
  • Analytical Hierarchy Process (AHP)
  • Fuzzy Set and Fuzzy AHP Methods
  • Flexible Design Concept Selection
  • Hypothetical Equivalents and In-Equivalents Method
  • Quality Function Deployment (QFD)
  • Axiomatic Design

At LA NPDT, we provide the tools and support you need to succeed at every stage of your journey.

Best Practices for Applying Concept Selection Methods

To ensure effective use of these methodologies, consider the following strategies:

  1. Start simple – Use fundamental approaches like Pugh’s method or Weighted Rating for initial evaluations. If results are unclear, apply more detailed methods like AHP.
  2. Cross-validate – If weight factors are uneven or if there are significant differences in performance scores, use another method to confirm findings.
  3. Trust clear outcomes – When one approach yields a decisive winner, it’s likely that others will support the same result.
  4. Resolve ambiguities – If results are too close to call, adjust the comparison method or refine resolution to gain deeper insights.
  5. Analyze data thoroughly – Don’t rely solely on scores—carefully review key criteria before making a final selection.

Spotlight on Two Essential Methods

  1. Pugh’s Method (Pugh Chart)

The Pugh method is a comparative analysis tool that evaluates concepts against a baseline option. Rather than choosing a final concept outright, this method systematically refines potential solutions by eliminating weak aspects and enhancing strong ones.

Steps for Creating a Pugh Chart:

  1. Define evaluation criteria
  2. Develop a decision matrix
  3. Clarify design concepts
  4. Select a baseline concept
  5. Populate matrix entries (+, −, 0)
  6. Analyze results
  7. Change baseline and reassess
  8. Improve the selected concept
  1. Weighted Decision Matrix

This method ranks concepts against weighted criteria, converting diverse values into a consistent numerical scale.

Steps:

  • Assign weights to criteria based on importance
  • Score each concept’s performance for every criterion
  • Multiply weights by scores to determine total scores
  • Select the highest-scoring option or explore hybrid solutions

Additional Considerations for Concept Evaluation

Minimum Requirements for Evaluation

  1. Clearly defined evaluation criteria
  2. A shortlist of viable alternatives
  3. A way to compare each alternative across all criteria

Evaluation Based on Absolute Criteria

Concepts can be assessed using:

  • Functional feasibility (Feasible, Not Feasible, Likely to Work)
  • Technology readiness (avoiding excessive R&D during product design)
  • Threshold constraints (e.g., size, power, cost)

Role of Models in Concept Evaluation

  • Iconic Models – Physical, scaled-down prototypes
  • Analog Models – Use of similar processes (e.g., modeling heat flow with electrical current)
  • Symbolic Models – Mathematical or symbolic abstractions of product characteristics

As product development progresses, models become more complex:

  • Conceptual Design – Sketches, rough models
  • Embodiment Design – Detailed geometric and tolerance specifications
  • Detail Design – High-fidelity prototypes, optimization models

Widely Used Frameworks for Concept Prioritization

  1. MoSCoW Method

Classifies product features into:

  • Must-Have – Essential for viability
  • Should-Have – Important but not critical
  • Could-Have – Nice-to-have additions for future iterations
  • Won’t-Have – Features that are not currently prioritized
  1. Jobs-To-Be-Done (JTBD)

Focuses on customer motivations—understanding why users “hire” a product. Ensures that features align with user expectations, improving satisfaction and retention.

  1. RICE Framework

RICE prioritizes ideas based on:

  • Reach – Number of users impacted
  • Impact – Value delivered
  • Confidence – Certainty of estimates
  • Effort – Development cost and time required

Strategic Questions Before Finalizing a Concept

Before making a decision, consider:

  • Does the design align with company values and vision?
  • Does it stand out or blend in with competitors?
  • Will it resonate with the target audience?
  • Can it scale across different media and formats (e.g., online presence, packaging, merchandise)?

Additional factors to evaluate:

  • Market opportunity
  • Development cost
  • Competitive advantage
  • Risks
  • Time to market
  • User value
  • Alignment with company strategy

Ready to launch your product like a pro? Contact us today to learn how LA NPDT can help you navigate the path to a successful product introduction.

Conclusion

Regardless of which framework or method a team adopts, structured, evidence-based, and iterative concept selection is crucial. It helps teams make informed decisions, mitigate risks, and ultimately create products that meet user needs and succeed in the market.

Concept Prioritization Frameworks

Framework
Primary Focus
Key Elements
MoSCoW Method
Feature Classification
Must-Have, Should-Have, Could-Have, Won't-Have
Jobs-To-Be-Done (JTBD)
Customer Motivations
Understanding why users 'hire' a product
RICE Framework
Idea Prioritization
Reach, Impact, Confidence, Effort

A worked weighted concept selection matrix

The matrix earns its keep only when the weights are agreed before anyone scores. Set the weights against the product requirements document, not against the concepts on the table — otherwise the weighting quietly becomes an argument for the concept someone already liked.

Score each criterion 1 to 5 against a defined datum concept, multiply by weight, and total. The example below shows three concepts for an enclosure program where cost and tooling risk dominated.

Criterion
Weight
Concept A
Concept B
Concept C
Unit cost at 25k volume
30%
4
3
5
Tooling risk and lead time
25%
3
2
4
User task completion in testing
20%
4
5
3
Serviceability and repair
15%
2
4
3
Manufacturing partner familiarity
10%
5
3
4
Weighted total
100%
3.55
3.25
4.00

Where concept selection matrices go wrong

  • Scoring after the decision. If the matrix is built to justify a choice already made, it produces confidence rather than information.
  • Too many criteria. Past roughly seven, weights get diluted and every concept converges on the same score.
  • Mixing requirements with preferences. Hard requirements are pass/fail gates before the matrix, not weighted rows inside it.
  • One scorer. Have engineering, design and commercial score independently, then discuss only the rows where they disagree by two or more points.
  • Ignoring the spread. When the top two concepts land within 5%, the honest answer is that you need more evidence — usually one more round of prototypes or user testing — not a tie-breaker vote.

What to do when the matrix does not decide it

A close result is information, not a failure. It usually means the concepts differ on dimensions you have not yet measured — manufacturability at volume, real-world grip and handling, or how the product ages after a few hundred cycles.

The productive response is to name the single assumption that would flip the ranking and go test it. That is normally cheaper than it sounds: a printed handling model, a short round of five user sessions, or a quote from the likely manufacturer will usually resolve a 5% gap in a week or two.

  • Identify the deciding unknown. Write it as a testable statement, not as a preference.
  • Pick the cheapest test that could change the answer. Printed model, quote request, or a five-person usability session.
  • Re-score only the affected rows. Do not rebuild the matrix; that invites re-litigating settled criteria.
  • Record the decision and the evidence behind it. Six months later, at tooling, someone will ask why this concept won.
  • Carry the runner-up forward as a documented fallback, including what would trigger a switch back to it.

Concept selection is the last cheap decision in a hardware program. Every choice after it — CAD detail, prototypes, tooling — multiplies the cost of changing direction, which is exactly why the extra week spent resolving a close call is the highest-return week in the schedule.

Frequently asked questions

Why is concept selection important in product development?

Concept selection is crucial because early product development decisions significantly impact the final outcome. It shapes cost, manufacturability, reliability, and the development timeline. Changes made later in development cost exponentially more, making this phase essential for evaluating options against customer needs.

What are some common challenges in concept selection?

Designers often need to make critical decisions with limited information. To address this, various methodologies have been developed. These tools help support objectivity and accuracy in the selection process. Key challenges include comparing alternatives and assessing strengths and weaknesses.

Which methods can help in choosing between competing concept designs?

Several methodologies can help choose between competing concept designs. These include Pugh’s Concept Scoring Method, Weighted Rating Method, and Analytical Hierarchy Process (AHP). Other options are Fuzzy Set and Fuzzy AHP Methods, and Quality Function Deployment (QFD).

What are the first steps when applying concept selection methods?

To apply concept selection methods effectively, start simple. Use fundamental approaches like Pugh’s method or Weighted Rating for initial evaluations. If results are unclear, apply more detailed methods like AHP. Cross-validation can confirm findings if weight factors are uneven.

What is the purpose of Pugh's Method?

Pugh's Method is a comparative analysis tool. It evaluates concepts against a baseline option. This method systematically refines potential solutions. It eliminates weak aspects and enhances strong ones, rather than choosing a final concept outright. A decision matrix is used.

Sources and standards

  • Industrial Designers Society of America — Professional body for industrial design practice in the US.
  • Nielsen Norman Group usability research — Evidence-based usability findings applied to product interaction.
  • USPTO — patent basics — Official guidance on provisional and non-provisional filings for new products.

Building a concept selection matrix that survives scrutiny

A concept selection matrix converts an argument into a calculation, but only if the criteria and weights are agreed before the concepts are scored. Setting weights after seeing the concepts is how a matrix becomes a way of justifying a decision someone already made.

Example weighted matrix

Criterion
Weight
Concept A
Concept B
Concept C
Meets core function
25%
5
4
5
Manufacturing cost
20%
3
5
2
Development risk
15%
4
5
2
Usability
15%
4
3
5
Time to market
15%
3
5
2
Serviceability
10%
3
4
4
Weighted total
100%
3.85
4.40
3.50

Run a sensitivity check afterwards: change one weight by ten points and see whether the winner changes. If it does, the concepts are effectively tied on the evidence you have, and the right next step is a test that separates them rather than a longer meeting.

Matrix discipline checklist

  • Agree criteria and weights before scoring anything.
  • Score with a mixed group, not a single function.
  • Use the same evidence basis for every concept.
  • Run a sensitivity check on the weights.
  • When results are close, run the test that separates them instead of debating.

Key takeaways

  • Set criteria and weights before the concepts are scored.
  • Sensitivity-check the result; a fragile winner means a tie.
  • Close scores call for a discriminating test, not more discussion.

Running the review session itself

Product team comparing three physical concept models side by side during a design review
Score the concepts against the criteria before anyone argues for a favorite.

A matrix only works if the session around it is disciplined. Distribute the criteria and weights before the meeting, and never in the same document as the concepts — otherwise weights get tuned to favor a preferred design.

Have each reviewer score independently, collect the sheets, then discuss only the criteria where scores diverge by two points or more. Those divergences are where the real information lives: they usually mean the criterion is ambiguous or the concept data is missing.

  • Independent scoring first. Group scoring converges on whoever spoke first.
  • Debate divergence, not averages. A two-point spread signals a definition problem.
  • Record the unknowns. Any criterion scored on a guess becomes a test in the next sprint.
  • Re-run after new data. A selection made on assumptions is provisional by definition.
  • Archive the sheet. Six months later, the matrix is the only record of why the losing concepts lost.

What happens to the concepts you did not pick?

Losing concepts are assets, not waste. Individual features often outscore the winner on a single criterion — a better seal, a cheaper hinge, a smarter service access panel. Harvest those features into the selected concept before engineering starts, and keep the runner-up documented as a fallback in case a supplier, cost or compliance constraint kills the leader during prototyping.

Stuck between concepts and need an objective read?

Talk to our design team

Have a product idea you want built?

LA NPDT takes concepts from sketch to production: design, prototyping and manufacturing under one roof.

Talk to an engineer

Filed under:Uncategorized

Services related to this guide

  • Best product development companiesHow the leading US firms compare, and which one fits your stage and budget.
  • Best product design companiesDesign studios compared by scope, industry and what they hand off.
  • Product engineering companiesEngineering firms for physical products compared by discipline, rigor and budget.
  • Consultant vs firm vs freelancerWhat each option costs, what it delivers and where to find them.

Get in touch

Tell us what this is about

Share a few details about your question, partnership, or idea, and a member of the LA NPDT team will reply within one business day.

Optional context

What are you looking to accomplish? (optional)

What do you already have? (optional, tick any)

loading…

Your information stays confidential and is never shared.

Related articles

All articles
  • How to choose a prototype company

    How to choose a prototype company

    A buyer checklist: the questions to ask, the red flags, what quotes should contain, and realistic price and timeline bands.

  • Full-service product development companies: what they do and how to choose

    Full-service product development companies: what they do and how to choose

    What "full-service" actually means, what these firms cost, how they differ from parts vendors and design studios, and how to pick one.

  • From prototype to production: the eight steps in between

    From prototype to production: the eight steps in between

    A working prototype is not a manufacturable product. Here is the sequence that turns one into the other, with realistic timing and cost at each step.