A board of directors usually has an impression of how it is perceived by local residents, employees, customers or regulators. That impression is usually based on incidental signals: a complaint, a critical news item, a conversation that stuck. The problem is not that this impression is incorrect. The problem is that nobody knows how large the distance is between that impression and what is actually being said outside the boardroom, until that distance manifests itself as a crisis.
A trust baseline makes that distance visible before that happens.
The method consists of two surveys that are conducted separately from each other. The first is internal: what does management think stakeholders think, where does it expect resistance, where does it expect support. The second is external: what do stakeholders themselves say, through a structured conversation. For those conducting that conversation, there are fixed formats per stakeholder group, such as a structured conversation with local residents, with employees or with regulators.
The difference between these two impressions is the first outcome. Not the external impression on its own, and not the internal impression on its own, but the gap between them. That gap is what the baseline is measured against at a subsequent measurement.
This is a boundary we draw deliberately. A trust baseline makes no statement about what stakeholders think. We measure the difference between what management thinks and what is said. We do not know what a stakeholder thinks until they say so themselves, in a conversation that has actually taken place.
This means the baseline is not a substitute for contact. It is not a dashboard that predicts sentiment, and not a model that renders a judgment on an organization's reputation. It is a structure that places the two existing impressions, the internal and the external, side by side and makes the difference between them trackable. Those who want to know more than that difference will have to conduct the conversation themselves, for example with customers or with suppliers.
A baseline without follow-up is a snapshot that expires. The commitment tracker follows what an organization has promised, to whom, and whether it has been kept. This component exists for a specific reason: failing to keep a small commitment costs more trust than not making a large investment. A residents' meeting that is postponed twice weighs more heavily than an investment that is delayed due to external factors. The tracker does not automatically register that difference in weight, but it does keep track of the commitments themselves, so that an organization knows what is still outstanding before a stakeholder asks about it themselves.
The third component is a rhythm, not a report. Instead of an annual measurement that reconstructs afterwards what has happened, the signal rhythm delivers periodic moments at which the difference between the internal impression and the external impression is recorded again. That rhythm is meant to notice shifts while they are still small, not to pass a final verdict.
A trust baseline does not guarantee improved trust, does not predict reputational damage, and does not provide ready-made advice. The outcome is a structured picture of a difference and an overview of commitments. What an organization does with that, and which conversations it conducts as a result, for example with municipalities and provinces, is up to that organization itself.
The Trust Baseline is under construction. There is no dashboard you can open today and no report we can deliver today. Those who want to use the method as soon as it becomes available can join the waiting list. We state this so directly because an instrument that has trust as its subject cannot begin with a promise that cannot yet be kept.
Conducting structured conversations, maintaining a commitment tracker and repeating a signal rhythm are tasks with a fixed form and a recognizable pattern. For organizations wondering which part of that kind of task can be taken over by AI and which part remains human work, the work scan from FTE TO AI calculates that per task.
Vraag maar. Het interessantste antwoord komt meestal van wie u nog niet heeft gesproken.
Answers come from this site’s knowledge base. Not tailored advice, and not a scan of your company.