The nominal group technique is a structured, face-to-face method for reaching consensus among a group of experts. It generates ideas and then prioritises them through a democratic voting process, so a clear position emerges from a single, well-facilitated session rather than an open-ended discussion. It typically involves a small group – around 8 to 12 participants — and follows a defined sequence of steps that give everyone an equal say.
In healthcare, the nominal group technique (NGT) is used to align clinicians, specialists and other stakeholders on practical questions: defining a care protocol, shaping a local guideline, or resolving an operational issue where the people in the room hold the expertise needed to answer it.
It sits alongside the Delphi method in the family of structured consensus techniques. Where a Delphi panel is remote, anonymous and iterative, the nominal group technique is live, interactive and fast – which makes each suited to a different kind of question. This page explains how it works and when it is the right choice.
A nominal group technique session follows five structured steps, each designed to draw out expert views evenly and move the group towards a ranked, agreed position.
Because the process is structured and time-limited, a nominal group technique session can be completed in a single sitting – one of the reasons it suits decisions that need to be made quickly. The structure is also what protects the quality of the result: independent idea generation, equal sharing and individual ranking are the safeguards that keep one or two strong personalities from steering the outcome.
Triducive used the nominal group technique to build expert consensus on the role of AI in radiology, working with a large biotech and pharmaceutical company that produces contrast agents and other medical imaging products.
US radiology faced a widening gap between rising imaging workloads and a shrinking radiologist workforce. With more than 300 AI algorithms available and new FDA guidance on machine learning-enabled devices, the client needed a clear expert position on where AI could genuinely help radiologists, and where concerns remained.
Triducive convened an expert group of US-based radiologists, ran pre-meeting voting to prioritise the areas of focus, then facilitated a three-day, in-person consensus meeting structured around the nominal group technique.
The group generated 51 statements and worked through structured rounds of discussion until agreement was reached. By the end of the meeting the panel had produced 15 clear recommendations for the use of AI in radiology, together with a publication-ready manuscript that went on to peer-reviewed publication.
The nominal group technique is at its most valuable when a defined group of experts needs to reach a clear, prioritised position quickly, in a setting where discussion adds value. Its main strengths are:
Equal participation. Because ideas are generated silently and shared in turn, every participant contributes on equal footing. That is particularly useful in healthcare, where professional hierarchies can otherwise inhibit open input.
Speed. The method is highly structured and time-limited, so it can be completed in a single session. That makes it well suited to time-sensitive decisions — for example, agreeing an urgent treatment protocol or an emergency-response approach.
In practice, it is a strong fit for:
It is equally important to know its limits. The nominal group technique works with a small group, so it captures less diversity of viewpoint than a large, dispersed panel. Its face-to-face format carries some risk of pressure to conform. And because a single session can only go so deep, it is not suited to projects with a large number of key questions – as a rule of thumb, more than three to five core items is usually too many for one session to handle well. Where any of those constraints bite, a Delphi panel is often the better route.
The nominal group technique is in-person, real-time and interactive, works with a small group, delivers a result in a single session, and is best for a focused set of questions. The Delphi method is remote, anonymous and iterative, scales to large or geographically dispersed panels, runs over several rounds and months, and is built towards a defensible, publishable consensus.
| Feature | Nominal Group Technique | Delphi Method |
|---|---|---|
| Format | In-person, face-to-face meetings | Remote, conducted via questionnaires |
| Group Size | Small (typically 8–12 participants) | Large, often involving many experts |
| Anonymity | No anonymity; all participants are known | Full anonymity of participants |
| Time Frame | Short, typically one session | Several months |
| Cost and Logistics | Requires logistical coordination for a single meeting | Requires administrative effort for multiple rounds |
| Risk of Groupthink | Moderate risk due to face-to-face interaction | Minimal due to anonymity |
Triducive designs and facilitates structured consensus in healthcare, working as independent facilitators across the full range of methods, including the nominal group technique. Whichever method fits, our team scopes the question, facilitates the process and takes the findings through to communication and, where appropriate, peer-reviewed publication.
A structured, face-to-face method for reaching expert consensus. A small group generates ideas independently, shares them in turn, discusses them for clarity, and then ranks them – so a clear, prioritised position emerges from a single session.
Through five steps: introduction and explanation, silent idea generation, round-robin sharing, discussion and clarification, and voting and ranking. The structure gives every participant an equal say and produces a ranked output the group has shaped.
Usually a small group of around 8 to 12 experts – large enough for a range of views, small enough for a focused, single-session discussion.
Use the nominal group technique when a small group of experts needs a fast, interactive, prioritised decision. Use a Delphi panel when you need anonymity, a large or geographically dispersed panel, or a defensible, publishable consensus.
It works with a small group (so captures less diversity than a large panel), its face-to-face format carries some risk of pressure to conform, and a single session cannot handle more than a few core questions well – typically no more than three to five.