Services
Most technology and insurance organizations are sitting on connected-data assets they haven’t turned into a revenue line, or they face strategic market questions their internal teams are too invested, and their vendors too conflicted, to answer objectively.
Structural Signal is the public side of a private advisory practice built to solve exactly those problems. Behind the analysis is Kevin Henderson, who built the commercial telematics data business at Trimble from the ground up creating one of the first markets for actually selling connected-vehicle data, not merely analyzing it.
That rare operator credential is paired with a proprietary research capability to deliver rigorous, independent findings you can act on and defend, precisely because they aren’t shaped by an internal team’s preferred conclusion or a vendor’s product. When you have a data asset to monetize or a question that needs a definitive answer, that work happens through three engagements.
Book a 30-minute scoping call:
Or write to Kevin: hello@indenseo.com
Data Monetization Advisory
For technology companies sitting on data they haven’t converted into a revenue line. This is the flagship consulting engagement, and it draws directly on the Trimble experience: not a framework read from a slide, but the judgment of someone who has built a connected-data market from the ground up. The work identifies what a company is missing about its own data assets, then charts the path to monetizing them: grounded in evidence, shaped by two decades of operator experience, and independent of any vendor selling a solution.
Best for: deep-tech and IoT-data companies, sensor and telematics businesses, and P&C carriers weighing what their data is actually worth.
Custom Private Research
You bring a specific question: a market question, a competitive question, a regulatory-landscape question, a strategic question about your own data. You receive a written research brief that answers it: grounded in verifiable data, sharpened by operator-level domain judgment, and delivered on a defined timeframe. Each engagement is scoped to your question and produced privately for you, not published.
The value is not the hours of research. It’s knowing what to research: walking into the problem already knowing what you’re missing, then grounding the answer in verifiable data and a proprietary body of research an internal team or an off-the-shelf model can’t reproduce.
Best for: founders, investors, and executives who need a rigorous, independent answer to a defined question or decision, fast.
Corporate Seminars
A focused, in-house session for a leadership team or working group: data monetization, market structure, and the exogenous forces reshaping P&C insurance and insurtech. Delivered to your team, scoped to your questions, and built to leave the room with a clearer view of where the value and the risk actually sit. Seminars work best where an internal sponsor wants to bring an outside, independent read directly to the people making the decisions.
Best for: executive teams and working groups that want operator-grade perspective delivered to the whole room at once.
Independent Industry Validation
The analysis behind this practice isn’t only self-published. It’s featured in Carrier Management, a leading trade publication in the Property & Casualty insurance industry, where a 2025 feature was named one of the publication’s Top Editor’s Picks of the year. Read it directly:
Why Insurance Telematics Integrations Fail — one of Carrier Management’s Top Editor’s Picks of 2025
Why Insurance Settles for Good Enough: The Hidden Cost of Satisficing
Your Tech Stack Is Your Recruiting Strategy (Whether You Know It or Not)
Let's Talk
If your organization has a data-monetization mandate, a topic worth bringing to your leadership team, or a research problem that needs a rigorous, independent answer, the next step is a brief scoping conversation.
Book a 30-minute scoping call:
Or write to Kevin: hello@indenseo.com
This is an operator-to-operator diagnostic, not a sales pitch. We'll use the time to map your core question, outline what a verifiable answer requires, and determine whether my experience is the right fit to solve it. If it isn't, I'll tell you directly.