Decide with evidence, then scale what works.
Capital projects and field programs often proceed on untested assumptions. We turn them into hypotheses, test them in disciplined pilots, and scale only what the evidence supports.
What strategy consulting solves
The questions that bring people to us for this work, what is usually behind them, and what we do about it.
“Will this initiative work before we fund it everywhere?”
The problemInitiatives scale on conviction, without the measurements to tell whether they work.
How we solve itPilots with success thresholds, sample sizes, and rollback conditions set before they start.
“Which of these options should we actually pursue?”
The problemCompeting proposals are compared on the quality of the presentation rather than the evidence.
How we solve itOptions framed as competing hypotheses, with the minimum evidence needed to choose between them.
“Why do our systems disagree about the same assets?”
The problemFragmented systems and inconsistent spatial data make every decision slower and less certain.
How we solve itA current-state analysis across stakeholders, processes, and data, including a baseline geospatial inventory.
Each answer rests on the same method. Here it is for strategy consulting.
How we do it
Four steps, in order, with governance designed in from the first one.
Map the current state
Stakeholders, processes, datasets, and constraints, across both tabular and geospatial systems.
Frame the hypotheses
Candidate interventions as competing hypotheses, with the evidence required to choose among them.
Pilot with thresholds
Limited territories or circuits, evaluated with statistical and spatial methods.
Plan production
Capacity, reliability targets, governance, training, and monitoring for what passed.
Data governance in this work
A strategy is only as good as the measurements behind it.
- A KPI architecture agreed with leadership before any pilot begins.
- Evaluation methods documented, so someone else can check the results.
- Rollback conditions written down, so stopping a pilot is a decision, not a failure.
What you get
- A root-cause assessment
- A KPI architecture aligned to objectives
- A pilot protocol with evaluation methods
- A production blueprint
- A geospatial data inventory and authoritative layer plan
A method is only useful once it is running. Here is how it gets there.
Phase by phase, with a gate at each one
Each gate is agreed before its phase begins, so nothing moves forward on optimism.
Discover
Month one: discovery, KPI baselines, and a pilot design with evidence thresholds.
Gate: Thresholds agreedPilot
Months two and three: execution and interim evaluation, adjusted on measured results.
Gate: Threshold met, or pilot stoppedScale
Month four onward: production with governance, monitoring, and quarterly reviews tied to results.
Gate: Ongoing
How it runs
Starts with a scoping consultation to define the hypotheses and the measurements that matter.
Where we do this work
Technical detail
Deliverables in detail
- Root-cause assessment
- KPI architecture aligned to strategic objectives
- Pilot protocol with success thresholds, sample sizes, and rollback conditions
- Production blueprint covering capacity, reliability, governance, and training
- Baseline geospatial data inventory, authoritative layer plan, and GIS integration pathways
Tell us which decision you are least sure of.
We will define the hypotheses, the measurements that matter, and a pilot that can confirm or refute them quickly.