A Power BI net promoter score dashboard teams act on
A Power BI net promoter score dashboard turns survey answers into a score, a trend and a list of customers to call. It groups respondents into promoters, passives and detractors, and then compares the result across products, regions and account types. Service and product teams use it to see where loyalty is slipping. Our consultants build it in your own Microsoft tenant, from your survey tool's data.
- Score by segment
- Trend over time
- Detractor follow-up list
Last updated
What does a Power BI net promoter score dashboard show?
The survey asks one question: how likely are you to recommend us, from zero to ten? People who answer nine or ten are promoters. Those who answer seven or eight are passives, and everyone at six or below is a detractor.
The score is the share of promoters minus the share of detractors. So it runs from minus one hundred to plus one hundred. A single company-wide figure is a start, yet it hides more than it shows.
The page therefore breaks the figure down. For example, one product line may score well while another drags the total. A new customer may feel differently than a long-standing one. Those splits tell a team where to look first. Layout matters as well, and power bi dashboard design keeps several breakdowns readable on one screen.
Loyalty views that turn a survey into action
Six views cover the questions a customer team asks most.
Headline score
The current score shows with its change since the last period, and with the count of responses behind it.
Promoter, passive, detractor mix
A stacked bar shows all three groups. Then a shift from passive to detractor is visible even when the score barely moves.
Score by segment
Product, region, plan and account size each get a score, because averages hide the weak spots.
Trend over time
A line per month or quarter shows direction. As a result, one bad week does not cause alarm.
Response rate
Surveys sent compare with surveys answered, since a score from very few replies deserves caution.
Follow-up list
Detractors appear with their comment, account owner and date, so someone can call while it still matters.
Where does promoter score data for Power BI come from?
Survey tools hold the responses. Some have a connector in Power Query, while others offer an API or a scheduled export. We use whichever route your tool supports and check it before the quote. Each response needs a score, a date and a customer identifier.
That identifier is what makes the page useful. It links a response to the CRM account, and then to revenue, product and service history. So the team can ask whether detractors are large accounts or small ones. Anonymous surveys cannot answer that, and we say so early.
Comments need care too. Free text is the richest part of the survey. We show it beside the score and let readers filter by keyword or by a tag your team assigns. Our consultants read those comments inside your tenant through accounts you control, under your access rules. We do not copy them to our own systems.
Mistakes on a Power BI net promoter score dashboard
Each of these leads a team to the wrong conclusion.
- Averaging the raw zero to ten answers
- Showing a score with no response count
- Averaging segment scores instead of recalculating
- Comparing periods with different survey timing
- Hiding the comments behind the number
- Tracking the score and never following up
How we build a Power BI net promoter score dashboard
The customer team tests a working page every week, so it fits their follow-up routine.
Check the survey source
First we confirm how responses leave your survey tool and which fields come with them.
Link responses to accounts
Next we match each response to a CRM account, and we report the ones that fail to match.
Write the score measure
Then we build one measure that recalculates correctly for any filter, since a score cannot simply be summed.
Publish with alerts
Finally we add the follow-up list, access roles and a data alert for when the score drops below a level you choose.
Promoter score reporting in Power BI: common questions
How is the net promoter score calculated in Power BI?
A DAX measure counts promoters, detractors and total responses in the current filter. It then subtracts the detractor share from the promoter share and scales the result. Because it is a measure, it recalculates for every segment and period. That matters, since averaging the scores of two segments gives a wrong answer when their sizes differ.
Can a promoter score dashboard in Power BI send alerts?
Yes. In the Power BI service you can set a data alert on a card, KPI or gauge tile pinned to a dashboard. When the value crosses your threshold, the service notifies you. So a manager learns about a falling score without opening the report. Subscriptions can also email the page on a schedule.
Can the net promoter score view link to revenue data?
It can, when surveys carry a customer identifier. The model relates each response to the account table, and the account table to sales. Then you can see the revenue held by detractor accounts. However, a link between score and revenue is an observation in your data, not proof that one causes the other.
How many responses do we need?
There is no fixed rule, so we show the count beside every score. A segment with a handful of replies can swing widely between periods. The page can gray out scores below a minimum count that you set. That stops a team from chasing noise in a small group.
Who does the work?
Consultants at Power BI Agency do it. We are a division of Sataware Technologies and independent of Microsoft. The team is small and works online. Call (480) 485-7373 for a free 30-minute assessment, and we reply within 2 hours with next steps.
Let's build your first dashboard together.
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