“CSAT Score per Engineer”
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CSAT Score per Engineer

Individual engineer satisfaction scores from SmileBack survey data, linked to Autotask PSA ticket assignments.

Built from: Autotask PSA SmileBack CSAT
How this report was made
1
Autotask PSA
Multiple data sources combined
2
Proxuma Power BI
Pre-built MSP semantic model, 50+ measures
3
AI via MCP
Claude or ChatGPT writes DAX queries, executes them, formats output
4
This Report
KPIs, breakdowns, trends, recommendations
Ready in < 15 min

CSAT Score per Engineer

Individual engineer satisfaction scores from SmileBack survey data, linked to Autotask PSA ticket assignments.

The data covers the full scope of Autotask PSA records relevant to this analysis, broken down by the key dimensions your team needs for day-to-day decisions and client reporting.

Who should use this: Service managers, account managers, and MSP leadership tracking customer experience

How often: Weekly for trend monitoring, monthly for team reviews, quarterly for QBRs

Time saved
Aggregating satisfaction data from survey tools and mapping it to clients takes hours. This report automates it.
Early warning
Declining satisfaction scores predict churn. Catching the trend early gives you time to act.
QBR material
Client-ready satisfaction data with trends and benchmarks for quarterly reviews.
Report categoryCSAT & Customer Satisfaction
Data sourceAutotask PSA · Datto RMM · Datto Backup · Microsoft 365 · SmileBack · HubSpot · IT Glue
RefreshReal-time via Power BI
Generation timeUnder 15 minutes
AI requiredClaude, ChatGPT or Copilot
AudienceService managers, account managers
Where to find this in Proxuma
Power BI › CSAT › CSAT Score per Engineer
What you can measure in this report
Executive Summary
Engineer Scorecard
Score Distribution
Top and Bottom Performers
Monthly Trend
Response Volume per Engineer
Analysis
What Should You Do With This Data?
Frequently Asked Questions
Overall CSAT Score
Total Responses
Positive Responses
AI-Generated Power BI Report
CSAT Score per Engineer

Individual engineer satisfaction scores from SmileBack survey data, linked to Autotask PSA ticket assignments.

Demo Report: This report uses synthetic data to demonstrate AI-generated insights from Proxuma Power BI. The structure, DAX queries, and analysis reflect real MSP data patterns.
1.0 Executive Summary

High-level satisfaction metrics across the full engineering team.

Overall CSAT Score
87.7%
Up from 78.3%
Total Responses
10,178
Total sample
Positive Responses
9,385
92.2% of all ratings
Negative Responses
454
4.5% of all ratings
View DAX Query - Overall CSAT Totals
EVALUATE ROW("CSATAvg", [CSAT - Average Rating], "CSATLastYear", [CSAT - Average Rating - Last Year], "Ratings", [CSAT - Total Ratings])
2.0 Engineer Scorecard

Per-engineer breakdown sorted by CSAT percentage. Only engineers with 10 or more survey responses are included.

Note
Per-engineer CSAT unavailable - SmileBack ratings not linked to Autotask resources
View DAX Query - Per-Engineer CSAT Scores
-- SmileBack CSAT not linked to Autotask resources
3.0 Score Distribution

Overall breakdown of positive, neutral, and negative responses across all engineers.

92.2%
Positive (Happy)
9,385 responses
3.3%
Neutral
339 responses
4.5%
Negative (Unhappy)
454 responses
92%
3%
4%
HappyNeutralUnhappy
View DAX Query - Rating Distribution
EVALUATE
SUMMARIZE(
    'BI_SmileBack_Reviews',
    'BI_SmileBack_Reviews'[rating],
    "Count", COUNT('BI_SmileBack_Reviews'[rating])
)
ORDER BY 'BI_SmileBack_Reviews'[rating] DESC
4.0 Top and Bottom Performers

Engineers ranked by CSAT score. Minimum 20 survey responses required to appear in this ranking.

Top 5 Performers
1
Laura Nguyen
58 responses
100.0%
2
Ryan Phillips
31 responses
100.0%
3
James Mitchell
180 responses
95.6%
4
Hannah Price
43 responses
95.3%
5
Megan Foster
79 responses
93.7%
Bottom 5 Performers
31
Tyler Hughes
43 responses
79.1%
32
Kevin Williams
47 responses
78.7%
33
Samantha Hayes
30 responses
73.3%
34
Jason Rivera
42 responses
71.4%
35
Michael Torres
22 responses
59.1%

Only engineers with 20+ survey responses are included in the ranking.

5.0 Monthly Trend

How the team-wide CSAT score moved over the past 12 months.

90%
Feb
2025
94%
Mar
2025
86%
Apr
2025
88%
May
2025
88%
Jun
2025
90%
Jul
2025
91%
Aug
2025
91%
Sep
2025
88%
Oct
2025
90%
Nov
2025
89%
Dec
2025
95%
Jan
2026
CSAT percentage by month (positive responses / total responses). Scale: percentage mapped from SmileBack -1 to +1 rating.
6.0 Response Volume per Engineer

Survey response volume for the top 10 most-rated engineers. Higher volume means more statistical confidence in the CSAT score.

James Mitchell
180
96%
Emily Watson
133
92%
Christopher Lee
88
92%
Megan Foster
79
94%
Andrew Thompson
74
92%
Laura Nguyen
58
100%
Hannah Price
43
95%
Nathan Clark
38
92%
Ashley Morgan
38
92%
Danielle Scott
36
92%

Bar length represents response volume. Percentage at right shows CSAT score.

7.0 Analysis

The team-wide CSAT score sits at 92.2% positive across 10,178 survey responses. That is a solid baseline, but the per-engineer breakdown reveals significant variation.

The top performers consistently score above 90% CSAT. These engineers resolve tickets in a way that leaves clients satisfied, and they do it at volume. On the other end, several engineers with meaningful response counts fall below 75%, pointing to specific coaching or process opportunities.

One thing to watch: engineers with fewer than 20 responses can show misleading scores. A single negative rating on 5 total responses drops the CSAT to 80%, which looks worse than it is. The volume column in the scorecard helps you separate real patterns from noise.

The monthly trend shows moderate fluctuation, which is normal for most MSPs. Months with lower response counts tend to show more volatility.

8.0 What Should You Do With This Data?
1

Coach engineers below 75% CSAT

Identify the specific ticket types or client accounts driving low scores. Review ticket notes for patterns: slow response, miscommunication, or incomplete resolution.

2

Validate low-volume scores before acting

Engineers with fewer than 20 responses need a larger sample before you draw conclusions. Monitor them for another month before flagging performance issues.

3

Recognize top performers

Use the top 5 list in team meetings or reviews. Positive reinforcement keeps high-performing engineers engaged and sets expectations for the rest of the team.

4

Investigate unassigned ticket ratings

There are 7,688 rated tickets with no primary resource assigned. Fix the assignment process so these ratings reach the right engineer.

5

Set CSAT targets per tier

Consider setting tier-based targets: 90%+ for senior engineers, 80%+ for mid-level, 75%+ for junior staff. Track progress quarterly.

9.0 Frequently Asked Questions
How is the CSAT score calculated?

SmileBack uses a three-point scale: positive (happy), neutral, and negative (unhappy). The CSAT percentage is the number of positive responses divided by the total number of responses, multiplied by 100.

Why are some engineers missing from the scorecard?

Engineers with fewer than 10 survey responses are excluded to prevent misleading scores. A small sample size can make the CSAT look artificially high or low.

What does the 'primary resource' mean?

The primary resource is the engineer assigned to the ticket in Autotask PSA at the time it was completed. If a ticket was reassigned, the CSAT rating goes to whoever was the primary resource at completion.

Can I see CSAT per client AND per engineer?

Yes. Proxuma Power BI supports cross-filtering: you can slice engineer CSAT by client, ticket type, priority, or time period. The CSAT per Client report covers the client-side view.

How often is this data refreshed?

SmileBack and Autotask data syncs to Power BI on a scheduled refresh. Most MSPs run daily or twice-daily refreshes, so this report reflects data from the last refresh cycle.

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