A manufacturer invests significant resource delivering CPD to architects and engineers. At the end of each session, they know how many people attended, whether anyone asked questions, and — if they ran a satisfaction survey — how the session was rated. What they don’t know, but need to: which of those attendees are currently working on a project that could specify this product category. What they’re currently working with instead. Whether the session shifted their thinking. Whether, 90 days later, anything changed on a drawing or specification document. This isn’t a CPD measurement problem. It’s a commercial intelligence problem — and it’s the problem CPD Impact’s signal data solves, not as a primary design goal, but as an inevitable consequence of asking attendees what they intend to do differently and what they’re currently specifying.
The intelligence gap in manufacturer CPD.
Every manufacturer with a CPD programme has a commercial hypothesis behind it: if an architect or engineer learns enough about a product category to understand its performance characteristics and appropriate applications, they’re more likely to specify that product when a relevant project arises. This hypothesis is almost certainly correct — but it’s currently untestable. The gap between CPD attendance and specification decision is long, unpredictable, and invisible. A professional attends a session. Some learning occurs. A project arises, months or years later. The professional’s memory of the session, their accumulated experience since, competitor products seen in the interim, and the specific constraints of the project all interact in ways the manufacturer can’t observe. The CPD programme is delivering into a black box. CPD Impact opens the box, not completely, but meaningfully: a free-text field in every telemetry submission captures, at the moment of attendance, what the professional is actively working on. Aggregated across enough submissions, this produces a real-time specification intent map of the CPD audience.
What the “currently specifying” field actually shows.
The field is a simple optional question embedded in the post-session submission: what are you currently specifying or considering specifying on your main project? At meaningful sample size, a session’s aggregate responses show the dominant project types represented in the audience — commercial fit-out, residential new-build, retrofit, infrastructure — the specification areas most likely to be directly relevant, and the competitive context: references to competitor products or systems currently being considered. None of this is individually attributable; no submission can be traced to a named professional. But the aggregate picture is commercially useful in a way attendance figures are not. It shows whether the CPD is reaching an audience actively positioned to make specification decisions in the relevant category, or an audience attending for general awareness. That distinction changes how a Specification Manager interprets CPD ROI, how they brief the session designer, and how they sequence the CPD calendar relative to project market timing.
Why this reframes the internal CPD investment conversation.
Manufacturer CPD budgets sit in marketing, justified on brand awareness, relationship-building, and specification influence — all correct, all unmeasurable, which makes those budgets vulnerable to cost-cutting when brand awareness gets deprioritised. Specification intent intelligence reframes the conversation entirely. CPD stops being a brand investment with unmeasurable ROI and becomes a market intelligence investment whose ROI can be tracked through specification intent data, compared across sessions, and optimised by selecting audiences, formats, and timing based on what the data shows about which sessions produce the most commercially relevant attendance profiles. A Specification Manager who can tell their commercial director that a session reached an audience where a majority were currently working on the manufacturer’s primary specification opportunity, and a meaningful minority were actively considering alternatives, is not reporting on a brand activity. They’re reporting on a sales intelligence function.
What was always there, now visible.
The intelligence manufacturer CPD has always been designed to generate — specification intent, competitive context, market timing — has been invisible because no independent instrument existed to capture it. CPD Impact captures it as a side effect of measuring professional development intent. For Specification Managers, that isn’t a feature of a CPD platform. It’s a commercial intelligence asset that’s been missing from the product marketing toolkit, available from session one.
FAQs
CPD Impact’s post-session submission includes an optional field asking what the attendee is currently specifying or considering specifying on their main project. Aggregated across enough submissions for a single session, this produces an anonymised specification intent map of the audience — dominant project types, specification categories in active scope, and competitive context. No individual response is attributable; the aggregate is commercially significant as a real-time market intelligence feed from an audience that has just engaged with a provider’s technical content.
A satisfaction survey measures how attendees felt about a session. The specification-intent field captures what they’re actively working on — their project context at the moment of learning. Satisfaction data tells you whether a session was well received. Specification intent data tells you whether the audience was positioned to act on what they learned. The second is commercially far more useful.
Yes, through the FRAKT Signal Report and the Provider Intelligence Plan dashboard. Individual responses are never disclosed — only anonymised aggregate themes appear in provider-facing reports.
“See what the aggregated signal from your CPD sessions shows about what your audience is currently specifying — and what they intend to do differently.”
