Sending a customer satisfaction survey is only half the job. Without a dashboard that turns individual ratings into a trackable score over time, a team ends up staring at a spreadsheet of numbers instead of a clear trend line.<\/p>\n\n\n\n
A CSAT dashboard solves that by summarizing satisfaction data automatically, using the scale and calculation method that fits how your team actually reports results. Set it up once, and every new response updates the score without manual recalculation.<\/p>\n\n\n\n
This article covers what a CSAT dashboard measures, the rating scales available, the two most common calculation methods, and how to set one up.<\/p>\n\n\n\n\n\n
A CSAT dashboard is a reporting view that aggregates Customer Satisfaction Score responses into a single, trackable metric, usually displayed as a widget alongside other customer experience data.<\/p>\n\n\n\n
Customer Satisfaction Score, or CSAT, is a metric that measures how satisfied a customer is with a specific interaction, product, or service, typically collected through a short rating question right after the interaction happens. A dashboard turns each individual response into an ongoing trend a team can monitor without recalculating it manually.<\/p>\n\n\n\n
CSAT reporting supports several rating scale formats, and choosing the right one depends on how granular you want the feedback to be.<\/p>\n\n\n\n
Common numeric scales include:<\/p>\n\n\n\n
Graphical scales, using stars or smiley faces, are also common for consumer-facing surveys, typically in 3-point or 5-point formats. A shorter scale, like 1 to 5, tends to produce faster completion in mobile surveys, while a longer scale like 1 to 10 gives more granularity for detailed trend analysis.<\/p>\n\n\n\n
A CSAT score is calculated using one of two common methods: the composite score, also called the average score, or the Top-2 Box score.<\/p>\n\n\n\n
The composite score averages all responses on the scale used, giving a single number that reflects overall sentiment across every rating received. The Top-2 Box score instead calculates the percentage of respondents who selected one of the two highest ratings on the scale, which focuses specifically on how many customers were genuinely satisfied rather than averaging in the neutral and negative responses.<\/p>\n\n\n\n
Neither method is universally correct. Composite scores are useful for spotting gradual shifts in sentiment, while Top-2 Box scores are easier to communicate to stakeholders as a simple satisfaction percentage.<\/p>\n\n\n\n
Adding a CSAT question to a survey usually takes a few steps inside a survey platform’s question library.<\/p>\n\n\n\n
QuestionPro’s CX platform<\/a> includes a dedicated CSAT question type with configurable scale options, so the same underlying question can be adapted to different touchpoints across the customer journey.<\/p>\n\n\n\n Building a CSAT dashboard widget takes a few steps once the survey with the CSAT question is live.<\/p>\n\n\n\n CSAT works best when read alongside other customer experience metrics rather than in isolation. This is because each metric answers a slightly different question.<\/p>\n\n\n\nHow do you build a CSAT dashboard widget?<\/strong><\/h2>\n\n\n\n
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How does CSAT work alongside other CX metrics?<\/strong><\/h2>\n\n\n\n