You also need people who know how to engage. That may sound obvious, yet engagement is often placed in the hands of communication specialists because communication and engagement are seen as closely related. They are, but they are not the same job.
In our previous article on this subject - What makes community engagement meaningful? - we explored three foundations for meaningful engagement: intent, design, and evidence. But there is another important part of that picture. All three depend on having people with the right skills to put them into practice.
Communication is largely about getting a message across clearly and effectively. Engagement asks you to listen, facilitate conversations, deal with disagreement, build trust, and understand what people are telling you. Increasingly, it also asks you to make sense of the data those interactions create.
Engagement data governance specialist Luiseach Flynn makes an important distinction between the two. According to her, treating communication and engagement as interchangeable can be a sign that an organisation has not fully considered what meaningful engagement actually requires.
The skills needed to deliver it can broadly be divided into two areas. There is the human side of engagement: listening, facilitating conversations, managing conflict, and building trust. Then there is the data side: managing the information those interactions produce and turning it into useful insight. Meaningful engagement depends on both.
People are at the heart of community engagement, so some of the most important skills are human ones. Frameworks such as those developed by IAP2 place considerable emphasis on the ability to work with people and navigate different interests.
Four skills are particularly important here: facilitation, conflict resolution, emotional intelligence, and trust building. Together, they help engagement specialists create conversations in which different people can contribute and feel that their input is taken seriously
A good facilitator does more than invite people into a room and ask what they think. They make sure different voices have an opportunity to be heard, keep conversations productive and help a group work through a subject without taking over the discussion themselves. That becomes particularly important when some stakeholders are much more vocal than others. Meaningful engagement should give people a genuine opportunity to contribute, including those who are less likely to speak first.
Community engagement does not always involve people agreeing with you. In fact, disagreement can tell you a great deal about how a project is experienced. Engagement specialists therefore need to know how to work with conflict rather than avoid it. That means listening to concerns, understanding where disagreement comes from, and finding ways to keep conversations constructive. The aim is not necessarily to make everybody agree, but to make sure disagreement can be expressed, understood, and considered.
People do not experience projects as plans, timelines, and technical specifications. They experience what those projects mean for their homes, businesses, routines, and communities. Emotional intelligence helps engagement specialists recognise that difference. It means noticing how people respond, understanding why something matters to them, and adjusting the conversation accordingly. It also helps you recognise when another survey or consultation is unlikely to produce useful input. As we have seen with consultation fatigue, asking people for more engagement is not always the answer.
Trust rarely comes from a single consultation. It develops through what happens before, during, and after engagement. Do you communicate openly about what people can influence? Do you listen when concerns are raised? Do you come back with an answer? And do you explain why a suggestion could or could not be implemented? Trust building therefore requires consistency. Meaningful engagement depends on people seeing that their time and input are taken seriously.
The human skills above may be more familiar to people working in stakeholder or community engagement, but meaningful engagement also produces a considerable amount of information. Every survey response, comment, meeting, and conversation creates engagement data, and that information needs to remain useful after the interaction itself has ended. As Luiseach puts it, if we want to meaningfully engage, we also need to meaningfully manage the data behind those interactions.
This requires a different set of skills. Four areas are particularly relevant: data strategy and governance, systems management, analysis and reporting, and data literacy. Together, they determine whether an organisation can turn individual engagement interactions into information it can understand, use, and learn from over time.
Good engagement data should still make sense after the consultation has ended. That requires decisions about how information is structured, classified, and stored. Without those decisions, valuable information can become difficult to find or compare later. Good data governance allows organisations to learn across projects and over time, instead of starting from scratch every time a new engagement process begins.
Knowing how engagement systems work is becoming an increasingly useful skill. It is not enough to collect information digitally. The systems holding that information need to be set up so that the data coming out is actually useful. That might mean thinking about how stakeholders are categorised, how feedback is recorded, or how information from different engagement activities can be brought together.
Collecting 500 responses is one thing. Understanding what they mean is another. Good analytical skills help engagement specialists look at information from different angles, identify patterns, and turn large amounts of feedback into something a project team can actually use. Reporting matters too. Dashboards and reports should help people make decisions rather than simply prove that engagement took place.
Numbers can look reassuringly objective, but engagement rarely is. Data literacy means understanding what the information is telling you and recognising what it cannot tell you. A high response rate, for example, does not automatically mean an engagement process was meaningful. Who responded? Who did not? Were some groups overrepresented? What was the quality of the input? Being able to ask those questions prevents engagement data from becoming a collection of numbers without context.
It is tempting to think of engagement as a people profession and data as something that happens behind the scenes. In reality, the two are becoming increasingly difficult to separate. You need the human skills to create conversations in which people feel comfortable sharing their experiences and concerns, and you need the data skills to make sure those contributions do not disappear once the conversation ends.
That combination also connects directly to intent, design, and evidence. The right skills help organisations turn an intention to listen into a well-designed engagement process and, eventually, evidence of what happened as a result.
Meaningful engagement therefore needs more than a good communicator. It needs people who can listen, facilitate, build trust, manage information, and make sense of what communities are telling them. Because asking people what they think is only the beginning. What you do with the answer is what makes the engagement meaningful.