Findings become
shippable specs.
Every high-priority finding becomes an Implementation Pack — issue, impact, prioritised steps, QA checklist, owner and success metric. Ready to hand to a developer, media buyer or ecommerce manager.
Insights that don't ship don't count.
Most growth reporting stalls somewhere between the dashboard and the roadmap. The number moves in an analyst's deck; nothing changes on the site, in the ad account or in the CRM. Implementation Packs are the mechanism that closes the gap — every finding either becomes a shippable spec or is honestly closed as not worth doing.
Every section, labelled.
One paragraph: what the evidence shows, why it matters commercially.
The single number that must move, and the confidence band around it.
Named operator accountable, plus the reviewer(s) required to close.
Ordered work, each with an estimate and a dependency map.
Pre-flight, launch and post-launch checks — the change is not shipped until these clear.
The re-measurement against baseline that closes or reopens the finding.
Every Pack is authored by a senior Attributed operator. Nothing ships on a Pack that has not passed the QA checklist and named-reviewer sign-off.
A Pack's lifecycle.
Every Pack passes through the same stages so nothing quietly falls out of the roadmap.
Ranked by impact and effort.
Brief, owner, success metric.
Routed to the right team.
By senior operators, not vendors.
Re-measured against baseline.
Every Pack has a named owner and reviewer.
- The Pack is authored by a senior operator, not by the platform
- A separate senior reviewer signs off before implementation
- Every step in the QA checklist must clear before launch — no exceptions for time pressure
- Validation re-measures against a pre-agreed baseline; Packs only close when the number moves
- Inconclusive results are documented and reopened with revised evidence — nothing quietly disappears
How Packs are sequenced.
- 1Impact first, effort second
The highest-impact findings win, with effort as a tie-breaker — not as an excuse.
- 2Confidence in the evidence
Higher confidence Packs ship first; lower confidence findings are investigated further before scoping.
- 3Dependency mapping
Packs that unblock other Packs are prioritised so the roadmap compounds.
- 4Capacity-honest scheduling
The backlog reflects real senior-operator capacity — no silent overloading.
- 5Weekly review, quarterly reallocation
Live Packs reviewed weekly with your team; priorities revisited at quarter boundaries.
Six of the Packs we run most often.
Every engagement's actual Packs are scoped to that business's evidence. These are the categories our operators produce most frequently.
Diagnose and close the reporting gap between analytics-attributed and finance-attributed revenue.
Field-level, device-specific friction fixes prioritised by revenue exposure.
Shift budget from platform-claimed revenue to reconciled contribution.
Replace calendar-based sends with cohort decay-driven programmes.
Move critical revenue events server-side, with a documented rollback plan.
Rescore MQLs against SQL-to-close ratio, not form volume.
Where Packs sit in the system.
The evidence layer that produces the Packs.
The bounded monitoring modules that surface findings.
The read-only inputs that feed the evidence graph.
The senior operators who author and ship the Packs.
Ship Findings and Pack updates into the channel that owns the change.
See the first Packs live in a Growth Review.
Connect your platforms read-only and we'll show the first Packs Intelligence would open against your baseline.