Engineering effort estimates
Every finding gets a days-of-engineering estimate, so your team can decide what fits in a sprint and what needs scoping.
What it actually is
For every finding in the report, I give an effort estimate in engineering days, with a confidence band. A finding tagged 1-2 days is something a competent engineer can ship in a normal sprint. A finding tagged 5-10 days needs explicit scoping. A finding tagged 15+ days is structural and probably belongs in a Sprint engagement, not internal work.
Marketers hand you a recommendation list with no effort context. Your engineering team then has to estimate it themselves before they can decide whether to take it on, which is friction that often kills the work entirely. Estimates remove that friction. The numbers may not be perfect, but they're a defensible starting point.
Deliverables
- Per-finding effort estimate in engineering days, with a low/high range
- Confidence band per estimate (high/medium/low)
- Tagging on which findings could fit in a normal sprint vs need scoping
- Notes on dependencies (this fix has to ship before that one)
- Total effort estimate if your team chose to execute everything internally
What breaks without it
Without effort estimates, the report becomes a wishlist your team can't act on. The estimates make it a roadmap they can fit into the existing engineering capacity. The difference between those two is whether anything ships in the next quarter.
The recurring pattern: a team takes a Quick Scan report, sees five findings tagged 1-2 days each, and ships three of them in the next sprint. Without the day estimates, those same findings would have been deferred to a future scoping conversation that never happened. The estimate is what unblocks immediate action.
How it fits the Quick Scan
Effort estimates are how the Quick Scan exits cleanly. Either your team can execute the small fixes internally (and you've gotten meaningful value from a $4,500 engagement) or the structural findings push you toward an Audit, where the same estimating discipline applies at scale. Either path, the estimates are the decision-support layer.
The full Quick Scan breakdown
- 01componentTop 5 template schema reviewOpen
- 02componentSingle AI engine visibility scanOpen
- 03componentWritten 8-12 page reportOpen
- 04currentEngineering effort estimatesyou are here
Stop pouring budget into a broken foundation.
If your SEO retainer hasn’t compounded, your AI citations have stalled, or your last technical audit ended in a deck nobody read, that’s not a content problem. It’s an engineering problem. The same engineer who diagnoses ships the fix.