Insights scoring meter & variations

[kkenna3]

Background

Hi, previous product teams introduced the "curved meter" (for lack of a better term) to highlight an overall score of how an account is doing in a particular area. See example in dynamic dashboard here.
Voice has a slightly different use case where we are only scoring 3 levels (ex. good, okay, bad) instead of 0-100.

Feedback

We'd like feedback on the overall direction of this scoring component, since it's not in Paste, so we can align as product teams. We also want a UI review on the variation we are exploring for Voice.

Stage of design

Hi fidelity variations and flexible to change

Research

No response

Relevant links

Figma exploration of voice scoring meter

Are you looking for visual design support?

• Yes

Additional Information

No response

[TwilioPasteBot]

Disclaimer: This is a very experimental bot using OpenAI's GPT-4. The answers may not be correct, a human will review the answer and update it if necessary.

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Sorry, I don't know how to help with that.

I did do a search though, and I managed to find these other Discussions that might be similar or related to your question. Give them a read to see if they answer your question. If they do, head back here and update this discussion and mark it as answered, pointing others to the related discussion:

• 3 Level scale (updated: 05/22/2023, similarity score: 86%)
• Meter component issues (updated: 10/10/2023, similarity score: 86%)
• Messaging Insights <> Paste (updated: 06/06/2023, similarity score: 85%)

[krisantrobus]

Hey @kkenna3 - just wanted to share the office hours recording with you in case you'd like to revisit any of our conversations. Here's the video, this shouldn't require a password if you are signed in with SSO. Thanks again for coming to office hours!