What touches the storefront?
Review the storefront-facing signals Stack Doctor can observe, then confirm the details with merchant context.
Shopify stack intelligence
Know what your Shopify stack is actually doing.
Map your apps and integrations. Surface likely capability overlap. Understand where changes may ripple. Put stack costs in context—before complexity compounds.
Storefront health report
Northline Supply Co.
78
● Primary diagnosis
High capability, avoidable complexity. Three overlapping tools and two high-impact dependencies deserve review.
Connected tools197 storefront-facing
Estimated spend$1,842per month
Overlap clusters42 high confidence
Storefront signals6theme + checkout
Dependency scan2 items need attention
No mass-market dashboard theater. Just practical decision support.
Merchant-first auditActionable findingsNo forced app swaps
The hidden operating layer
The problem isn’t simply “too many apps.” It’s not knowing how the stack behaves as a system.
Every new tool adds capability—but also code, data flows, subscriptions, dependencies, and another place for change to create side effects.
Where are you paying twice?
Surface tools solving similar jobs across reviews, loyalty, support, analytics, automation, and more.
What breaks if this changes?
Trace integrations and operational dependencies before removing, replacing, or reconfiguring an app.
What does complexity cost?
Connect subscription spend to actual capabilities, utilization, overlap, and operational value.
From app list to decision support
A useful diagnosis—not another inventory screen.
Stack Doctor turns disconnected app information into a merchant-readable model of capabilities, costs, risks, and change impact.
One view of the full commerce stack.
Build a practical map of known apps, integrations, operational tools, and the capabilities each one supports.
- App and integration inventory
- Capability taxonomy
- Storefront and theme footprint
Reviews
platform
platform
Email + SMS
Support
desk
desk
Analytics
layer
layer
Warehouse
system
system
SHOPIFY
STORE
STORE
See duplicate capability before cutting tools.
Identify likely overlap, then distinguish harmless redundancy from real consolidation opportunities.
- Confidence-scored overlap
- Feature-by-feature comparison
- Consolidation hypotheses
Overlap detected
Post-purchase messaging
Two tools appear to own the same customer touchpoint.
Lifecycle appEmail, SMS, flows
↔
Tracking appStatus, alerts, upsell
Understand the blast radius first.
Organize the questions, evidence, and verification steps to consider before removing an app, changing plans, switching vendors, or altering a key workflow.
- Downstream dependency hints
- Customer-journey impact
- Migration and verification checklist
Remove “Returns Portal”?
Potential impact across the current stack.
Order-status page linkReview
Support automation triggerAt risk
Warehouse authorizationCovered
Refund processingNative
Put app spend in context.
Understand where the budget goes, which capabilities drive it, and where expense may be outpacing practical value.
- Monthly and annualized spend
- Spend by capability
- Potential savings scenarios
Estimated monthly stack cost$1,842
$276 reviewable
Private beta partnership
Bring us the real stack. Help shape the useful version.
We’re selecting five merchants for hands-on beta partnerships. You’ll receive a private Shopify stack audit and free long-term Stack Doctor access in exchange for candid product feedback.
Complimentary merchant-specific auditDirect access to the founderNo sales commitment or mass-email sequence
What participation looks like
01
Intro and fit check
A short conversation about your store, goals, pain points, and current stack.
02
Private stack audit
We map what’s installed, what it appears to do, and where the first questions emerge.
03
Product walkthrough
You see the diagnosis, test the product, and tell us what’s useful—or missing.
04
Focused feedback
A few structured check-ins as the beta evolves. No endless meeting treadmill.
A strong beta fit
Built for stores with a stack worth understanding.
The early product will be most useful to merchants with meaningful app and integration complexity—and enough operational context to challenge our assumptions.
✓
Founder-led or ecommerce-led
The person participating understands why the stack evolved and where it creates friction.
✓
Multiple apps and integrations
There are real dependencies, overlapping jobs, storefront touchpoints, or rising subscription costs to examine.
✓
Open to candid feedback
You’re willing to tell us where the model is wrong, unclear, or not yet useful enough.
✓
Interested in better decisions—not app shaming
The goal is a better-fit stack, not an arbitrary contest to install the fewest tools.
Early questions
What merchants usually ask.
The beta is intentionally hands-on. We’ll explain what we inspect, what we infer, and where merchant confirmation matters.
Is Stack Doctor another app-recommendation marketplace?
No. The goal is to help merchants understand the tools they already use and make better decisions about change. Recommendations should follow the diagnosis—not drive it.
Does this automatically remove or modify apps?
No. Stack Doctor is decision support. Any removal, replacement, or configuration change remains under the merchant’s control.
What do you need from a beta merchant?
A brief introduction, access appropriate to the audit method, context about your goals and workflows, and candid feedback during a small number of structured check-ins.
Is the private beta really free?
Yes. Selected beta partners receive the audit and long-term product access in exchange for their time, operational context, and honest product feedback.
How do you handle store data?
Every requested permission is explained and kept to the minimum necessary. Beta-request details are used only to evaluate and respond to the request; precise product data access, retention, and deletion terms are reviewed during onboarding.
Five private beta partners
Your stack already tells a story. Let’s make it readable.
Share your store and a little context. We’ll respond personally—no automated sequence, no aggressive follow-up.