Every high-priority finding becomes an Implementation Pack — a single document with the owner, the steps, the QA checklist, the success metric and the validation plan.
Every pack follows the same structure so any team — in-house or agency — can pick it up and act without translation.
Clear headline plus High / Medium / Low priority based on commercial impact.
Mapped to the role best placed to ship the fix — developer, paid media, CRO, ecommerce ops.
One-paragraph description of what is broken or under-performing.
Commercial impact framed in revenue, EBITDA or wasted spend terms.
The specific data points, variance, timeframe and source that triggered the finding.
Numbered, sequential implementation steps written for the assigned owner.
What to verify before marking the fix complete.
The single metric and tolerance that defines a successful fix.
How long Attributed will watch after the fix lands to confirm resolution.
Tracked from Generated → In review → In progress → Implemented → Validated.
A typical High-priority pack generated by Forge from a Ledger finding.
Shopify revenue is 24% higher than GA4 purchase revenue over the last 7 days, suggesting a material under-count in GA4.
Reporting, ad platform optimisation and audience modelling are all anchored to GA4 revenue. A 24% under-count means Smart Bidding is optimising against a weak signal, board reporting understates store performance, and remarketing audiences exclude legitimate buyers.
Reduce Shopify vs GA4 revenue variance below 10% within 14 days.
14 days post-fix
Every pack moves through the same five states so progress is always visible to the team.
Forge listens to every other agent. When a finding clears the priority threshold, Forge generates the pack — owner, steps, QA, metric, validation.