In this article...

  • Getting to Insights

  • Viewing your dashboard

  • What is the Vibe Score?

  • How is it calculated?

  • How do we measure your factor scores?

  • Diving into the data

Accessing your Insights

To view your Insights, you can access it from your left nav bar if you're on web or on your bottom nav bar if you're on mobile.

On web

On mobile

Viewing your dashboard

Your dashboard is where you go for an quick overview of everything that's happening in the team. From the vibe score and it's history to viewing your factor scores - everything is displayed for you in one place.

What is the Vibe Score?

The Vibe is a measure of how your team is going at work on a scale of -100 to 100. It is calculated by aggregating all of your team's responses to the Vibe question How's work going?

How is it calculated?

Our smart algorithms take answers from everyone in your team who has responded to the Vibe in the time period you are viewing and calculates a weighted average, charting that to a specific data set and range,

How do we measure your factor scores?

Alongside the Vibe, we also give a score to each of the key performance factors we measure as part of the weekly check-in process. This is calculated based on how people were feeling when they chose a certain factor.

For instance, someone who chose 'Excited and full of energy' with the happiest emoji will carry the most positive weight, whereas someone choosing the same factor but with the unhappiest emoji will carry the most negative weight. We constantly update the score for each factor as responses come in and you can toggle how you view them on a timeline by using the date selector on your dashboard.

Diving into the data

For those into their data, you also have the option of exploring your team's stats in more detail through the different views we offer. For the richest experience, head to your web browser or if you're after a more lightweight approach, your mobile is the perfect place to go.

From factor analysis to mood over time and mood vs factor, you can understand more about what's being said and in turn how you can use the data in discussions with the team.

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