CASE FILE 003 · ACTION ENGINE / ASPEN
Turning technical capability into commercial evidence.
When the product works, but the company still does not know which proposition deserves further investment.
THE EVIDENCE PATH
From technical possibility to a decision the company could act on.
01
Technical capability
02
Operational fleet problem
03
Validation experiments
04
Commercial decision
Evidence created
- 90-day commercial-validation model with explicit assumptions and evidence thresholds.
- Behaviour-based funnel from outreach and discovery to data access, pilot ownership and payment discussion.
- Assumption and evidence registers connecting market signals to product priorities.
- Weekly operating review and continue, pivot or stop decision gates.
Independent engagement delivered through Green Bear Consulting.
Ongoing engagement
UPDATED JULY 2026
Commercial Validation
PROPOSITIONS · ASSUMPTIONS · EVIDENCE
Evidence created
NOT FINAL COMMERCIAL OUTCOMES
EVIDENCE STATUS · ONGOING · ANONYMISED
Scope and evidence
This is a current fractional operating engagement. It is presented as evidence of the decisions and operating system being built—not as a completed commercial success.
MANDATE
Fractional strategic operator across product definition, commercial validation, pilot logic and the product–commercial operating model.
EVIDENCE CREATED
Explicit propositions, assumption register, evidence map, pilot and partner signals, and a repeatable commercial review.
NOT YET DEMONSTRATED
Repeatable acquisition, conversion, willingness to pay, pricing or retained use.
EVIDENCE BASIS
First-hand ongoing engagement. The company is anonymised; process outputs and market outcomes are deliberately separated.
Outreach, conversations and demos count as activity until they change confidence in a proposition or produce a stronger customer commitment.
THE SITUATION
The technology worked. The commercial choice remained unclear.
The company had a broad set of telemetry checks and anomaly-detection capabilities across safety, maintenance, efficiency and route behaviour.
The underlying belief was that a growing feature portfolio would naturally create traction. Outreach, demos and partner conversations created activity, but not enough decision-quality evidence about which buyer problem and proposition deserved further investment.
The decision: which proposition should the company back—and which should be narrowed, repositioned or stopped?
WHAT CHANGED
The proposition—not the feature—became the unit of commercial learning.
- Capabilities were turned into explicit commercial propositions.
- Buyer, urgency, ownership, willingness to pay and technical feasibility became visible assumptions.
- Outreach, demos, pilots and partner conversations were judged by what they changed in confidence.
- Weak propositions could be deprioritised instead of continuing by default.
- Further product investment became easier to connect to commercial evidence.
FRAME → EVIDENCE → COMMIT
Activity had to become evidence.
Frame
Define each proposition through a customer, problem, buying situation, reason to act and the assumptions that must hold.
Evidence
Use buyer conversations, targeted outreach, demos, pilots and partner signals to test the assumptions rather than count activity.
Commit
Prioritise, narrow, reposition or stop propositions and connect the next product investment to the evidence.
EVIDENCE CREATED SO FAR
A commercial decision system—not a claimed market outcome.
Commercial structure
- Proposition portfolio
- Assumption register
- Evidence map
Market learning
- Targeted fleet contacts
- Customer conversations
- Pilot and partner signals
Decision system
- Evidence-led prioritisation
- Clearer investment logic
- Repeatable commercial review
WHAT REMAINS UNCERTAIN
The ending remains open by design.
The work has not yet established final conversion, pricing, willingness to pay or repeatable acquisition. Those are the outcomes the evidence system is designed to test rather than assume.
Evidence beats features.
When customer activity is not producing clearer investment choices, send me the decision you’re trying to make.
Jörn Green 