Cases are anonymized. The useful pattern is raw context, affordable first-pass scope, concrete artifact, and follow-up support.
First-order trust cleanup for a small storefront
A focused first-pass audit turned a vague "why are people not ordering" concern into a concrete fix order for the homepage, catalog path, product pages, mobile view, and trust cues.
First-installs launch brief for a Shopify app
A public listing, demo flow, and founder notes were converted into a sharper first-user segment, app-store copy direction, screenshot order, and 7-day install test plan.
Markets and rich-results diagnostic for a large catalog
A search-results issue was turned into an evidence table covering public product pages, structured data, canonical signals, market variants, and validation steps.
Storefront feature implementation with safe rollout
A merchant-facing Shopify request was turned into a controlled implementation package: scope the storefront behavior, make the theme change safely, test the buyer path, publish with approval, and keep rollback available.
Product visibility and feed-signal troubleshooting
A product visibility problem was converted into an evidence-backed technical path across public pages, Merchant Center-style diagnostics, structured data, metadata, robots rules, feeds, and developer handoff.
Workflow evidence note and build-ready asset pack
For operational problems that start as a messy thread, screenshot, export, or support issue, the first pass can become a workflow map, evidence note, source package, deck, document, or lightweight build.
Send one messy problem.
Include a link, screenshot, sample row, copied note, or target output format. We will shape the smallest useful artifact with problem-based pricing and support after delivery.