GIS training for teams: planning it so it sticks

Organisations often buy GIS software, send a few people on a general course, and find six months later that the software is hardly used. The course was fine; the problem was that it did not connect to the work people actually do.

Good GIS training starts from your own tasks and your own data.

Start with the work, not the software

Before choosing a course, list the jobs your team needs to do. For example:

• Producing location maps for reports and tenders
• Keeping a register of properties, sites or assets up to date
• Measuring areas and distances from drone or satellite imagery
• Bringing survey points and field data into a map
• Preparing maps for a council or environmental submission

Each task becomes a training exercise, using a copy of your real data.

QGIS or ArcGIS Pro?

Both are capable desktop GIS packages.

• QGIS is free and open source, so it suits teams that need several licences or want to install it on any computer.
• ArcGIS Pro is a paid product with a wide set of tools and services, often already used by partners, consultants or authorities you work with.

Many teams use both. The concepts — layers, coordinate systems, attribute tables, symbology and layouts — carry over from one to the other.

A training plan that works

1. Assess — a short conversation or questionnaire about each person's current skills and tasks.
2. Foundations — coordinate systems, data formats and how to organise project folders, so files stay usable.
3. Task sessions — one session per real task, using your own data.
4. Practice period — people do the tasks in their normal work, with a channel to ask questions.
5. Follow-up — a review session to fix habits and cover what came up.

Keep it going

• Write short step-by-step guides for each task, with screenshots from your own projects.
• Keep a shared folder structure and naming rules.
• Name one person to look after the data and the guides.
• Plan a refresher when new staff join or the software changes.

Training that ends with people doing their real work, on their own data, is the training that lasts.