Constraint diagnosis
Find the system constraint most likely to be limiting progress towards the stated outcome.
Plan how to reactivate old leads by identifying the dependencies, measurable proxies and next change worth reviewing.
Start with the commercial result, then connect the work required to move towards it.

Start with the current baseline and define what it would mean to reactivate old leads in measurable terms. Choose connected levers, assign owners and agree which proxy signals would show useful movement without promising the outcome.
The assessment covers the constraint, dependencies, owners and proxy signals that can support a measured next decision.
Find the system constraint most likely to be limiting progress towards the stated outcome.
Order the changes by commercial importance, effort and the dependencies between them.
Join the customer-facing work to the systems and owners responsible for follow-through.
Use practical signals to decide what is improving and what needs a different approach.
The review defines the baseline and measurable meaning of reactivate old leads. The first phase produces a priority plan with owners, dependencies and measurable proxy signals. Progress depends on implementation, offer-market fit, data quality and customer behaviour; an outcome is never guaranteed.
Our recommendations are grounded in recognised industry guidance, including OECD AI Principles.
Describe where the business is now and what reactivate old leads should change.
Find the connected changes with the clearest relationship to the result.
Agree practical signals, owners and a cadence for deciding what to improve next.
Bring the current baseline, desired direction and signal that would show useful movement.