The Performance page is the central reporting hub for Verity administrators and managers. It gives you a real-time, structured view of how your learners are performing across every roleplay bot in the platform — broken down by region, sub-region, group, and individual user.

It is designed to answer three core questions at a glance:

• Who is practising? — total practices, active users, and usage patterns across your organisation

• How are they performing? — average scores, performance trends over time, and score labels

• Where do people need support? — signals that flag learners who are mastering skills or struggling

When you open the Performance page you see a summary for your entire organisation. The header reads Performance: All Regions and displays four key metrics at the top:

Below the metrics, you see a table of Regions, each showing its average score, a status label, and a View performance button to drill down.

Each region (and group, and user) is assigned a status label based on their average score. The labels are:

Verity organises your users into a four-level hierarchy. The Performance page lets you drill down through each level seamlessly. The breadcrumb at the top of the page always shows where you are (e.g. All regions › EMEA › Northern Europe › London Executive Coaching).

At each level, the activity summary table shows the child objects below it — e.g. at the Region level you see Sub-regions; at the Group level you see individual Users. Click any row to drill down.

The Performance page has three filter controls that work together to slice the data. All filters apply to the entire page — including the summary metrics, the trend chart, and the activity table.

The All bots dropdown lets you narrow the view to a specific roleplay bot. By default, data from all bots is shown together. Selecting a single bot lets you see performance specifically for that scenario — useful when you want to compare learners on the same exercise.

The All time dropdown controls the date range. Options are:

• Last 7 days

• Last 30 days

• Last 90 days

• Last 6 months

• All time (default)

Changing the time filter is useful for tracking recent progress, identifying drops in engagement, or preparing a monthly or quarterly report.

The Usage toggle has three options:

• All — shows every user regardless of how many times they’ve practised (default)

• 1 Practice — filters to users who have completed exactly one practice session. Useful for identifying learners who started but haven’t returned

• 2+ Practices — filters to users who have practised more than once. Useful for analysing committed, repeat learners and tracking improvement over time

At the top of the performance table there is a Search bar. Use it to find a specific region, group, or user by name. This is particularly helpful in large organisations with many groups.

At every level of the hierarchy (region, sub-region, group, or user), you will see a Performance trend chart. This chart shows the cumulative average score over time, updated with each new practice.

What to look for in the trend chart:

• Rising line — learners are improving as they practise more

• Flat line — performance is stable, either consistently high or plateaued

• Declining line — may indicate fatigue, difficulty with the bot, or a change in who is practising

• Large jump or dip — could indicate a batch of new users completing their first practice, or a difficult new bot being introduced

Below the trend chart at each level is the Activity summary table. The columns change depending on which level you are viewing:

The Signal column at group level gives you an at-a-glance indicator of which learners stand out — either as high performers or as people who may need additional support.

If a learner has fewer than 5 practices, no Signal is shown yet — there isn’t enough data to make a reliable judgement.

Used well, the Performance page surfaces insights that go far beyond a simple league table. Here are the key questions it helps you answer:

Use the Usage → 1 Practice filter to find learners who have completed only one session. These are your drop-offs — people who tried Verity once and didn’t return. A targeted nudge or manager conversation can re-engage them.

Compare Active users against your total headcount to see what percentage of your team is engaging with practice at all.

The Avg improvement metric (score change from first to most recent practice) is the clearest indicator of whether Verity is working. If average scores are low but improvement is positive and growing, the programme is having the intended effect — learners just need more time.

Use the Usage → 2+ Practices filter alongside the trend chart to see the improvement trajectory for your most committed learners.

Drill down from region to sub-region to group. If one group has a dramatically different score from its peers in the same sub-region, that’s a signal worth investigating — it may reflect team coaching quality, manager involvement, or the mix of bots being assigned.

Use the Bot filter to isolate a single roleplay. If everyone scores 95%+ on a particular bot, it may be too easy. If most people score below 50%, the scenario might need recalibration, or learners need more scaffolding before attempting it.

At group level, look for the Struggling Signal flag. These learners are not a lost cause — they are an opportunity. Combine the signal with the individual session view (click on their name) to see whether their score is trending up or stuck flat.

The Performance page works alongside the following sections in the left sidebar: