Public-store fit check
Confirm the store is operational, the problem is bounded and the work can realistically fit the ten-hour cap before access is requested.
Shopify Storefront Rescue · Beta
A fixed-scope five-day sprint for existing Shopify stores where customer-path friction, theme edits, merchandising gaps and uncertain measurement have become tangled together.
The five-day system
Confirm the store is operational, the problem is bounded and the work can realistically fit the ten-hour cap before access is requested.
Lock the affected storefront slice, reproduce the issues and rank no more than ten evidence-backed findings.
Agree one written batch, then implement only controlled, bounded and reversible changes that fit the scope.
Verify the affected pages on desktop and mobile, including named product, variant and cart behavior without placing a paid order unless approved.
Receive the before/after evidence, QA status, exact change log, remaining blockers, owner actions and rollback notes.
What may be included
Locked beta boundaries
Qualification
Good fit
Not a fit
Owner-operated implementation case study · ICantCompute
ICantCompute did not need an automatic redesign. It needed a safer way to separate reproducible customer-path problems from noise, make bounded changes and prove what had actually been checked.
Evidence boundary: ICantCompute is Tor Bjornstad’s owner-operated store. This case consolidates verified work completed across several controlled tasks; it is not an external-client engagement or one uninterrupted five-day sprint.
Desk-setup products were missing from the intended homepage sequence, event status needed direct observation, and new catalog mappings needed a publication safety gate.
A native featured collection was added, a dated ecommerce-event path was observed, and catalog work stayed Draft while weak mappings were withheld.
Links, prices, layout, cart behavior, named events and publication state were checked. Purchase completion and commercial uplift were not claimed.
4
The approved featured collection, its copy and position, four active product links and displayed prices, the collection CTA, desktop/mobile presentation and one cart path were verified.
6
Shopify product_viewed, product_added_to_cart and checkout_started, plus the corresponding GA4 events, were observed in a dated test. Purchase was not tested.
8 / 16
Eight products and 16 SKUs remained Draft, on zero sales channels, with no overwrite. Four mappings were saved and four were withheld for insufficient quality or evidence.
Fail → pass
An initial unpublished-theme QA run exposed predictive-search focus and cart-safety failures. After targeted repairs, 25/25 responsive smoke checks, predictive search and the add/update/remove cart lifecycle passed; the cart ended empty and the target stayed unpublished.
What became repeatable
Fit and access gate → reproducible issue list → written approval → bounded reversible fixes → desktop/mobile/cart QA → evidence, owner actions and rollback handoff.
Straight answers
No promise is made about sales, traffic, rankings, conversion rate or platform approval. The promise is a controlled audit, prioritized work, verified implementation and a clear change log.
No. Access should use Shopify collaborator or staff permissions with the minimum scope required. Passwords, 2FA codes, bank details and unnecessary customer data are not requested.
The scope is cut before implementation. The highest-priority evidence-backed items are completed first, and the remaining work is documented rather than silently absorbed.
No. Store-policy and product-information inconsistencies may be flagged, but formal legal, tax and compliance certification are outside the service.
A short fit check. No access is requested until the store, scope, boundaries and commercial terms are a plausible match.
No-access fit check
Send the public store URL and the customer-facing problem you most want understood. I classify the next step as FIT, DIAGNOSTIC FIRST or NOT A FIT before requesting access.
First three qualified stores
No rebuild by default. No access request before scope is clear. No commercial-result guarantee.