Schovia
HomeResearch
For ProfessionalsUnder GraduatesGraduatesPost GraduatesFor TeamsFor Enterprises
About Us
HomeResearchAbout Us
Measured trust

What Is Net Promoter Score (NPS) and Why It Matters

We provide more than just AI training; we deliver a proven, reliable pathway to business outcomes. See how our 60+ Net Promoter Score (NPS) de-risks your AI transformation and gives leaders confidence in the return on their investment.

60+

NPS score

A simple signal that learners would recommend the experience.

77%

Promoters

Of our customers promote us to their colleagues.

21%

Passives

Satisfied learners who see value in the program.

2%

Detractors

A low detractor share helps protect the upskilling investment.

What NPS tells you

A practical measure of loyalty, trust, and momentum.

The Net Promoter Score (NPS) is a simple, yet powerful metric for AI upskilling initiatives, providing a clear measure of customer loyalty that directly predicts long-term success, trust, and growth.

This confidence drives momentum through word-of-mouth referrals, lowers acquisition costs, and provides actionable feedback to continuously refine content and platform support, ensuring the training genuinely adds value for professionals and organizations.

Why it matters for AI upskilling

Promoters

9 - 10

Enthusiastic learners who will actively recommend your program.

Passives

7 - 8

Satisfied but unenthusiastic learners who are vulnerable to competitive offerings.

Detractors

0 - 6

Unhappy learners who can damage your brand through negative word-of-mouth.

De-risk your AI transformation

Do not leave your company's most critical upskilling initiative to chance. Partner with a provider whose results are measured, proven, and validated by leaders at Fortune 500 asset managers and global integration platform leaders.

NPS Formula: % Promoters (9-10) - % Detractors (0-6) = NPS Score

Schovia

Download on the App StoreGet it on Google Play
Follow Us on
Quick Links
  • About
  • Academy Login
  • Teacher Login
  • Contact
Policy