
A Platform Expertise Depth Checklist for CTOs, CIOs, and Senior IT Buyers
Senior IT buyers know that platform expertise depth matters more than it seems to in vendor pitches. Vendors who genuinely understand a platform deliver materially different outcomes from vendors who can use it. The gap shows up most clearly in the difficult moments – performance issues, security incidents, complex integrations, edge cases that the platform's documentation does not cover.
But platform expertise depth is hard to evaluate before contracting. Vendor capability looks similar at the pitch level. Resumes describe experience without revealing depth. References speak well of vendors they have worked with. A structured checklist produces meaningfully better evaluation than open-ended conversation, and the right questions surface signal that polished pitches typically obscure.
Section One: Evaluating Hands-On Platform Experience
The most important signal is how much actual platform work the vendor's team has done, not just how many projects they have led.
Item 1: How many production implementations of this platform has the vendor's team built and operated?
Numbers should be specific and verifiable. Vendors with deep expertise have done many. Vendors with thin expertise have done few or have inflated counts.
Item 2: What percentage of the vendor's revenue comes from this platform?
Vendors heavily concentrated on a platform tend to have deeper expertise than vendors with diluted attention across many platforms. The trade-off is breadth versus depth.
Item 3: How long has the lead architect for your account worked with this specific platform?
Years of relevant experience on the specific platform matter more than years of general eCommerce experience. Get a specific number.
Item 4: What versions of the platform has the lead engineering team worked with?
For Adobe Commerce, this includes work across Magento 1, Magento 2, and Adobe Commerce versions. For Shopify Plus, this includes work across Shopify's evolution including Online Store 2.0, Hydrogen, and B2B features. Version-specific experience is platform expertise that paper resumes rarely surface.
Item 5: What complex production scenarios has the team handled on this platform?
Performance tuning under high load. Security incident response. Complex migrations. Custom integrations. Multi-storefront architecture. Specific scenarios test for depth that generic experience does not.
Section Two: Evaluating Platform-Specific Technical Knowledge
Each platform has technical depth that takes years to develop. A few specific topics distinguish vendors with real expertise from vendors who have learned the basics.
Item 6 (Adobe Commerce/Hyvä): How does the team handle Magento performance optimization?
Database query optimization. Indexer behavior. Full-page cache strategy. Varnish configuration. Image optimization. Hyvä theme specifics. Real experts can describe specific patterns. Less experienced vendors describe generalities.
Item 7 (Shopify Plus): How does the team handle Shopify performance and theme architecture?
Liquid optimization. Theme customization patterns. App load impact. Hydrogen architecture if relevant. Specific patterns indicate depth.
Item 8 (Shopware): How does the team handle Shopware's plugin architecture and Rule Builder?
Shopware's plugin development model and Rule Builder are distinctive. Real experts can describe specific patterns and trade-offs.
Item 9 (BigCommerce): How does the team handle BigCommerce's Stencil and Catalyst architectures?
BigCommerce frontend customization and headless implementation each have specific patterns. Specific knowledge indicates depth.
Item 10: How does the team handle integrations with the systems specific to your stack?
ERP integration patterns. OMS integration patterns. CDP integration patterns. Payment processor integration patterns. The specifics of integration depth matter more than the abstract claim of integration capability.
Section Three: Evaluating Approach to Difficult Moments
Platform expertise is most visible when things go wrong. The vendor's approach to difficult moments reveals expertise depth.
Item 11: How does the team handle a major production incident on this platform?
Get the incident response process specifically. Real experts can describe escalation paths, diagnostic patterns, and rollback procedures. Less experienced vendors describe generic incident response without platform specifics.
Item 12: How does the team handle a security finding on this platform?
The platform-specific patch and disclosure process. The team's relationship with the platform vendor's security team. The team's experience with similar findings. Specific examples indicate depth.
Item 13: How does the team handle a complex migration to or from this platform?
Migrations stress expertise depth. Get specific examples of complex migrations the team has handled, including the patterns they used to manage risk.
Item 14: How does the team handle a difficult performance issue on this platform?
Performance issues require pattern recognition that comes only from extensive experience. Real experts can describe diagnostic patterns and specific optimizations they have made. Less experienced vendors describe generic performance principles.
Item 15: How does the team handle a complex customization that goes against the platform's grain?
Sometimes the business requires customization that the platform does not support cleanly. The team's approach to these situations – and the trade-offs they make explicit – reveals depth.
Section Four: Evaluating Knowledge Contribution and Visibility
Vendors who contribute knowledge back to the platform community tend to have deeper expertise than vendors who only consume knowledge.
Item 16: Has the team contributed to the platform's open-source ecosystem if applicable?
Pull requests to the platform itself. Open-source modules or apps. Community contributions. These signals indicate engagement deeper than typical agency work.
Item 17: Does the team present at the platform's conferences or community events?
Conference presentations require depth that surface-level expertise does not produce. Look for specific talks rather than vague claims of community involvement.
Item 18: Has the team published technical content about the platform?
Blog posts, white papers, conference talks, podcast appearances. The volume and depth of published content correlates with expertise depth.
Item 19: Does the team hold the relevant platform certifications?
Adobe Commerce certifications. Shopify Plus partner status. Shopware partner status. BigCommerce partner status. Certifications are necessary but not sufficient – the question is what level of certification and how many team members hold them.
Item 20: Is the team recognized by the platform vendor as a top-tier partner?
Platform vendors typically have partner tier structures that recognize deep expertise. Top-tier status is a useful but imperfect signal.
Section Five: Evaluating Bench Depth
Senior IT buyers care about bench depth, not just the depth of the named individuals.
Item 21: How deep is the vendor's bench on this platform?
Beyond the lead architect, how many senior engineers have deep platform expertise? How many mid-level engineers? Bench depth matters when the lead is unavailable, when the project scales, and when transitions happen.
Item 22: How does the vendor recruit and develop platform expertise?
The vendor's hiring practices, internal training, and developer career paths indicate whether expertise will continue to develop or stagnate.
Item 23: How does the vendor handle the transition when senior people leave?
Some attrition is inevitable. The question is how the vendor handles transitions. Vendors with strong knowledge management lose less expertise when individuals leave.
Item 24: What is the average tenure of senior engineers at the vendor?
Long average tenure indicates a stable expertise base. Short average tenure indicates expertise that is constantly being rebuilt.
Item 25: Does the vendor have specialized roles within the platform?
Performance specialists. Security specialists. Integration specialists. Platform vendors with specialized roles indicate depth that generalist teams cannot match for complex work.
Section Six: Evaluating Cross-Platform Perspective
Platform expertise depth is most useful when combined with cross-platform perspective. Vendors who only work on one platform sometimes recommend that platform when it is not the right answer.
Item 26: Does the vendor work across multiple platforms?
Vendors with cross-platform experience can recommend the right platform for the customer's actual situation. Single-platform vendors have an inherent bias.
Item 27: How does the vendor decide which platform is right for a given customer?
The decision framework reveals whether the vendor recommends based on customer fit or based on commercial preference.
Item 28: Will the vendor recommend against this platform if it is not the right answer?
The willingness to recommend a different platform – or no platform at all – is a strong signal of advisory integrity.
Pulling the Checklist Together
A useful summary view of what platform expertise depth looks like across the major dimensions.
| Dimension | Deep Expertise Indicators | Surface Expertise Indicators |
|---|---|---|
| Hands-on experience | Many production implementations, multi-year team tenure | Few implementations, shallow team tenure |
| Technical knowledge | Specific patterns for complex scenarios | Generic principles without specifics |
| Difficult moment handling | Specific examples and patterns | Generic incident response language |
| Knowledge contribution | Open-source contributions, conference talks, published content | Limited or no visible contribution |
| Bench depth | Multiple senior engineers, strong recruiting | Concentrated in a few individuals |
| Cross-platform perspective | Works across platforms, recommends fit-based | Single platform, recommends platform regardless of fit |
Vendors who indicate deep expertise across multiple dimensions tend to deliver materially better outcomes than vendors who indicate surface expertise. The gap is most visible in difficult moments, complex scenarios, and long-term operating phases.
How Bemeir Maps to the Platform Expertise Depth Checklist
The team at Bemeir has built deep expertise across Adobe Commerce, Hyvä, Shopify Plus, Shopware, and BigCommerce, with multi-year tenure for senior engineers and lead architects. The team handles complex production scenarios across each platform – performance optimization, security incidents, complex migrations, and custom integrations. The team contributes to the platform communities through technical content, partner programs, and selective open-source contribution.
The cross-platform perspective shapes how the team recommends. Bemeir builds across platforms and has no commercial incentive to push any one platform. The recommendation a customer receives reflects what the team has actually seen work across many implementations rather than what would generate the largest commercial outcome.
For CTOs, CIOs, and senior IT buyers, the practical implication of working through this checklist is to evaluate platform expertise specifically. The vendors who answer the specific questions specifically are the vendors with the depth that actually matters. The vendors who deflect with generalities or with marketing language are vendors whose platform expertise may not survive contact with the difficult moments every multi-year program eventually faces.
Platform expertise depth is one of the most consequential and least evaluated dimensions of vendor selection. Working through it carefully tends to produce vendor decisions that compound positively over years. Skipping the evaluation tends to produce vendor relationships that work well until they don't, with the difficult moments revealing expertise gaps that should have been visible from the start.





