Net Promoter Score Analysis — Unique Respondents, All Surveys
Data through March 2026
Understanding Our NPS Score Card
This dashboard tracks how Reach University candidates rate their experience using the Net Promoter Score (NPS) — a widely used measure of whether someone would recommend the program to a friend or colleague. It draws from 8,379 respondents across 65 surveys collected between 2022 and 2026. The data breaks down satisfaction by year, program, and demographics, giving leaders a clear picture of where the candidate experience is strong and where it needs attention.
How the Score Works
Candidates answer one question: "How likely are you to recommend Reach University to a friend or colleague?" on a scale of 0 to 10. Scores of 9–10 are Promoters, 7–8 are Passives, and 0–6 are Detractors. The NPS is calculated by subtracting the percentage of Detractors from the percentage of Promoters, producing a final score between −100 and 100.
How Reach Reads the Score
VERY POOR
−100 to −1
POOR
0 to 19
FAIR
20 to 39
GOOD
40 to 59
VERY GOOD
60 to 79
EXCELLENT
80 to 100
Our Goal & Where We Stand
Reach's target NPS is 40 — the entry point for a "Good" rating. Our current score of 48.8 meets that goal, with over 62% of respondents identifying as Promoters. While this signals a generally positive experience, the dashboard is designed to push further — helping university leaders identify specific programs, years, or groups where satisfaction dips, so resources and improvements can be directed where they'll have the most impact.
01 · At a Glance
Your overall NPS score and how candidate responses break down into Promoters, Passives, and Detractors
Overall NPS Score
48.8
Net Promoter Score
Response Breakdown
Promoters (9-10)5,214 respondents — 62.2%
62.2%
Passives (7-8)2,050 respondents — 24.5%
24.5%
Detractors (0-6)1,115 respondents — 13.3%
13.3%
NPS Color Scale (Target: 40)
Under 40 — Below Target 40+ — On Target
8,379
Unique Respondents
65
Surveys Analyzed
4
Years of Data
+45.0
Current NPS (2026)
02 · Score Over Time
How candidate satisfaction has shifted year by year and semester by semester — click any bar to filter the entire dashboard
NPS Score by Year
Click a bar to filter all charts by that year. Deduplicated by unique respondent per year.
NPS Score by Semester
Click a bar to filter all charts by that semester. Deduplicated by unique respondent per year.
03 · Score by Group
Compare NPS across programs, locations, departments, and demographics — click any row to filter the entire dashboard
NPS by Program Level
Click a row to filter all charts by program level
NPS by Program
Click a row to filter all charts by that program
NPS by State
Click a row to filter all charts by that state
NPS by Department
Click a row to filter all charts by that department
NPS by Ethnicity
Click a row to filter all charts by that ethnicity
04 · Analysis & Candidate Voice
What the numbers reveal about satisfaction trends, and what candidates say in their own words about what's working and what needs to change
05 · Deeper Look
How specific improvement topics have shifted over time, and how the Promoter, Passive, and Detractor mix has changed year by year
Improvement Theme Trends by Year
How key improvement themes have shifted from 2022 to 2026 (% of improvement responses mentioning each theme)
Response Composition by Year
Promoter, Passive, and Detractor proportions per year
Promoters Passives Detractors
06 · Explore with AI
Ask questions about the NPS data in plain language — the assistant has full context and responds to any active filters
NPS Data Explorer
Ask questions about the NPS data
I'm a mixed-methods data analyst for Reach University NPS data. I combine quantitative metrics (NPS scores, response volumes, trends) with qualitative insights (open-ended themes, candidate voices, detractor analysis) to give you a complete picture.
Ask me analytical questions like "Why is NPS declining?", "Compare programs", or "What should we prioritize?" I also respond to active dashboard filters.