Method vs Deeplocal: full comparison for 2026
Quick verdict
Deeplocal (3.9/5) edges ahead of Method (3.7/5) overall. Deeplocal is the better choice for brands needing working hardware prototypes, not just software. Method is the stronger option for enterprises wanting design-thinking backed by GlobalLogic scale. The right choice depends on your project size, budget, and required tech stack.
Method vs Deeplocal: head-to-head summary
| Criterion | Method | Deeplocal |
|---|---|---|
| Founded | 1999 | 2006 |
| HQ | San Francisco, CA, USA (also London and New York) | Pittsburgh, PA, USA |
| Team size | Not published (operates within GlobalLogic's global workforce) | ~75 |
| Rating | 3.7 / 5 | 3.9 / 5 |
| Primary differentiator | A quarter-century of design-thinking work for Google, Comcast, Samsung, and the BBC, now backed by GlobalLogic's engineering scale | A Carnegie Mellon-spinoff studio that engineers and builds working hardware prototypes in-house, not just software mockups |
| Pricing model | Enterprise consulting engagement (project-based or retainer) | Project-based (not published) |
| Min. engagement | Not published | Not published |
| Primary tech stack | Figma, Adobe Creative Suite, Design systems/Storybook | Figma, React, Arduino/embedded systems |
| Industries served | Enterprise transformation, Consumer products, Media & entertainment | Consumer products, Enterprise transformation, Automotive & mobility |
Method vs Deeplocal: overview
Method
Five founders — Kevin Farnham, David Lipkin, Patrick Newbery, Mike Abbink, and Meng Mantasoot — started Method in 1999, building a design and innovation consultancy out of San Francisco with offices in London and New York. GlobalLogic acquired Method in 2011, and in 2021 the firm merged with sister company Skookum, adding offices in Charlotte, Atlanta, and Denver. Method's client list — Google, Comcast, Samsung, Nokia, Microsoft, the BBC, Nissan, Nordstrom — reflects a quarter-century of user-centered design thinking work for large brands.
Deeplocal
Deeplocal spun out of Carnegie Mellon University in Pittsburgh in 2006, building a studio around robotics, hardware development, electrical engineering, and industrial design alongside standard software and creative work. WPP Digital acquired the studio in 2017. At around 75 people, Deeplocal does most of its prototyping and production in-house, which shows up in a client list — Google, Netflix, Airbnb, Lyft, Nike, Toyota, Volkswagen, PNC Bank — that regularly asks for physical, working prototypes rather than mockups.
Services and capabilities: Method vs Deeplocal
| Capability | Method | Deeplocal |
|---|---|---|
| Product design | ✓ | ✓ |
| UX research | ✓ | ✗ |
| Branding | ✓ | ✗ |
| Web development | ✗ | ✓ |
| Mobile development | ✗ | ✗ |
| Design systems | ✓ | ✗ |
Tech stack comparison: Method vs Deeplocal
| Framework / platform | Method | Deeplocal |
|---|---|---|
| Figma | ✓ | ✓ |
| Webflow | N/A | N/A |
| React | N/A | ✓ |
| Framer | N/A | N/A |
| Adobe Creative Suite | ✓ | N/A |
| Design systems/Storybook | ✓ | N/A |
| After Effects | N/A | N/A |
Pricing comparison: Method vs Deeplocal
| Criterion | Method | Deeplocal |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Retainer, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Method vs Deeplocal
| Dimension | Method | Deeplocal |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Enterprise transformation, Consumer products, Media & entertainment | Consumer products, Enterprise transformation, Automotive & mobility |
| Best use cases | Enterprise product design backed by a larger engineering organization, Media or telecom digital product redesign for a large brand | Connected-hardware or physical prototype design for a brand campaign, Automotive or consumer-electronics product design requiring in-house engineering |
| Typical project type | Fixed project | Fixed project |
Method vs Deeplocal: pros and cons
| Method | |
|---|---|
| + | Quarter-century client history including Google, Comcast, Samsung, Nokia, Microsoft, and the BBC |
| + | GlobalLogic ownership since 2011 provides access to a much larger engineering organization |
| + | 2021 merger with Skookum added US office presence in Charlotte, Atlanta, and Denver |
| + | Design-thinking-led methodology with a long, publicly documented case-study history |
| - | Acquired by GlobalLogic in 2011 — no longer an independently owned design consultancy |
| - | Team size isn't published separately from GlobalLogic's much larger combined workforce |
| - | Enterprise consulting scale and pricing are less accessible to startups than boutique studios |
| Deeplocal | |
|---|---|
| + | In-house robotics, electrical engineering, and industrial design capability alongside software and creative work |
| + | Client list (Google, Netflix, Airbnb, Lyft, Nike, Toyota, Volkswagen, PNC Bank) spans tech, consumer, and automotive |
| + | WPP Digital backing since 2017 provides access to a larger global network when needed |
| + | Two decades of continuous operation since its 2006 Carnegie Mellon spinout |
| - | A ~75-person team caps capacity for very large, multi-workstream programs |
| - | Hardware-and-prototype focus is a narrower fit for clients needing pure software UI/UX work |
| - | Pricing and minimum engagement size aren't published |
Who should choose Method?
A typical fit: enterprise product design backed by a larger engineering organization.
A quarter-century of design-thinking work for Google, Comcast, Samsung, and the BBC, now backed by GlobalLogic's engineering scale. Minimum engagement starts at Not published. Works best with clients in Enterprise transformation, Consumer products, Media & entertainment.
Who should choose Deeplocal?
A typical fit: connected-hardware or physical prototype design for a brand campaign.
A Carnegie Mellon-spinoff studio that engineers and builds working hardware prototypes in-house, not just software mockups. Minimum engagement starts at Not published. Works best with clients in Consumer products, Enterprise transformation, Automotive & mobility.
Decision matrix: Method vs Deeplocal
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Method |
| You need a large dedicated team for an ongoing programme | Method |
| Your budget is at the lower end | Compare: Method (Not published) vs Deeplocal (Not published) |
| You need specialist depth in a specific vertical | Method |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Method vs Deeplocal
| Use case | Method fit | Deeplocal fit | Winner |
|---|---|---|---|
| Enterprise product design backed by a larger engineering organization | Strong | Limited | Method |
| Media or telecom digital product redesign for a large brand | Strong | Limited | Method |
| Connected-hardware or physical prototype design for a brand campaign | Limited | Strong | Deeplocal |
| Automotive or consumer-electronics product design requiring in-house engineering | Limited | Strong | Deeplocal |
| Fixed-price product build | Limited | Limited | Both equally |
| Dedicated design team augmentation | Limited | Limited | Both equally |
Verdict: Method vs Deeplocal
Deeplocal (3.9/5) is the stronger overall choice for most Product Design projects. A Carnegie Mellon-spinoff studio that engineers and builds working hardware prototypes in-house, not just software mockups.
Method (3.7/5) is worth a look if you need media or telecom digital product redesign for a large brand. If your situation matches that, Method is a competitive option.
Related comparisons
Method vs Deeplocal FAQ
Is Method better than Deeplocal?
Deeplocal (3.9/5) scores higher overall, but "better" depends on your use case. Method's strongest advantage: quarter-century client history including Google, Comcast, Samsung, Nokia, Microsoft, and the BBC. Deeplocal's strongest advantage: in-house robotics, electrical engineering, and industrial design capability alongside software and creative work.
How do Method and Deeplocal differ in pricing?
Method uses enterprise consulting engagement (project-based or retainer) pricing with a minimum engagement of Not published. Deeplocal uses project-based (not published) pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Method or Deeplocal?
Deeplocal is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Method and Deeplocal?
Method's primary differentiator is: a quarter-century of design-thinking work for Google, Comcast, Samsung, and the BBC, now backed by GlobalLogic's engineering scale. Deeplocal's primary differentiator is: a Carnegie Mellon-spinoff studio that engineers and builds working hardware prototypes in-house, not just software mockups. They also differ in team size (Not published (operates within GlobalLogic's global workforce) vs ~75), minimum engagement (Not published vs Not published), and primary industries served (Enterprise transformation, Consumer products vs Consumer products, Enterprise transformation).
Verify all details directly with each company before making a decision.