Engagement

Track team sentiment

See the mood in workers’ own words — positive, neutral or negative — and where it’s shifting, across every open comment.

CorePulse moduleSentimentFor engagement & hr leads~6 min

What it is

Sentiment reads the free-text comments people leave in surveys and sorts them into positive, neutral or negative — then rolls that up per cohort and over time. It answers the question a score can’t: what’s the mood, and where is it moving? The distribution gives you the big read at a glance, and the cohort view shows which group’s comments are turning.

Numbers tell you that engagement dipped; sentiment tells you why, in people’s own words. A falling score plus a rising share of negative comments about scheduling is a clear story you can act on. Watching sentiment alongside the scores turns a dashboard into a conversation you can actually have with the people involved.

When to use it

  • A score moved and you want to understand the mood behind it
  • You want the qualitative read, not just the numbers
  • You’re checking whether a recent change landed well
  • A particular cohort’s comments are worth watching closely

How it works

Step by step.

Engagement in Hexis — Keep workers and clients connected — and retained.
Engagement in Hexis — Keep workers and clients connected — and retained.
  1. 1

    Open the sentiment view

    Land on the sentiment dashboard to see the overall positive, neutral and negative split across every open comment in the window.

  2. 2

    Read the distribution

    The stacked bar is the big read — what share of comments are positive versus negative right now, with the count behind it.

  3. 3

    Choose the window

    Pick the period you care about. A shorter window shows recent mood; a longer one smooths out a one-off bad week.

  4. 4

    Compare by cohort

    Break the sentiment down by site, team or tenure to find the group whose comments differ most from the rest.

  5. 5

    Watch the movement

    Follow how the split shifts over time. A rising negative share is the early warning a single score can miss.

Worked example

Follow it through.

The scenario

eNPS dipped this month at Northwind Workforce and you want to know what’s behind it.

  1. 1 Open the sentiment view; the overall split reads 58% positive, 22% neutral, 20% negative.
  2. 2 Set the window to the last 30 days.
  3. 3 Break it down by site; Docklands Distribution Centre shows 34% negative against the rest.
  4. 4 Skim the negative comments there — most mention short-notice roster changes.
  5. 5 Note the theme to raise with the Docklands coordinator.

The result

You’ve traced a dip in the score to a real theme — short-notice rostering at Docklands — in workers’ own words, ready to address.

Tips & notes

Good to know.

  • Sentiment is the "why" behind the score — read them together, not in isolation.
  • A rising negative share is an early signal; act on it before it shows up as turnover.
  • Skim the actual comments behind a cohort’s split — the words tell you what the percentage can’t.
  • Window choice matters: a short window catches a fresh issue, a long one tells you if it’s a real trend.

When you’re done

A clear read on the workforce’s mood, where it’s shifting, and the themes driving it — in their own words.

Ready to try it?

Every task here is a guided flow inside Hexis — the assistant walks you through it on your real data, with a person always on the call that matters.