The Spontaneous Feedback Index (SFI) is Yellow Tokens’ proprietary metric for measuring customer satisfaction based exclusively on spontaneous public feedback.
By consolidating reviews, ratings, and customer comments from multiple public platforms into a single company-level score, the SFI helps organizations understand how customers truly perceive their business without relying solely on surveys or questionnaires.
The Spontaneous Feedback Index (SFI) is a proprietary customer satisfaction metric developed by Yellow Tokens. It was designed to measure how customers publicly perceive a company based on spontaneous feedback shared across review platforms and social networks.
Unlike traditional customer satisfaction metrics that depend on survey participation, the SFI is built from feedback customers voluntarily publish online. This includes reviews, ratings, recommendations, complaints, and experience-related comments shared across multiple public channels.
The SFI consolidates feedback from multiple sources, products, locations, and business units into a single company-level score, making it easier to understand overall customer perception and compare performance across organizations.
Customer perception is no longer shaped by a single platform or a single location. Modern organizations receive feedback across dozens of public channels, making it difficult to understand overall satisfaction without a unified metric.
The SFI was created to solve this challenge by transforming large volumes of spontaneous customer feedback into a single standardized score that can be monitored over time and compared across companies.
The result is a simple but powerful indicator that helps leadership teams, customer experience professionals, marketers, researchers, and operators understand how their organization is perceived in the public marketplace.
The SFI is a composite metric designed to capture customer satisfaction from spontaneous public feedback. Rather than relying on a single signal, it combines multiple satisfaction indicators into a single standardized score.
For platforms that provide ratings, such as review websites and marketplaces, Yellow Tokens uses the original customer ratings. For platforms without ratings, such as social networks, AI models analyze customer feedback and estimate an equivalent rating when the content clearly reflects a customer experience.
Content that does not represent an actual customer experience is excluded from the calculation to improve consistency and relevance.
These signals are normalized and combined into a final score ranging from 0 to 100, creating a standardized measure of spontaneous customer satisfaction.
While the exact formula and weighting parameters are proprietary, the methodology is transparent, consistent, and designed specifically for large-scale analysis of spontaneous public feedback.
Within Yellow Tokens, the SFI serves as a standardized measure of customer satisfaction built from spontaneous public feedback. It helps organizations consolidate large volumes of feedback into a single, comparable score.
Yellow Tokens consolidates feedback from review platforms, social networks, locations, and products into a single company-level metric. Instead of monitoring satisfaction separately across channels, teams can track overall customer perception through one standardized score.
Learn more about Customer Satisfaction Metrics .
The SFI can be compared against benchmark datasets and other companies monitored within the same project, helping organizations understand whether customer satisfaction is above, below, or aligned with relevant market references.
Explore the SFI Benchmark feature.
The SFI was designed to make spontaneous customer satisfaction easier to understand, compare, and analyze over time.
The SFI helps organizations answer questions such as:
A hotel company operates dozens of properties across multiple regions. Customers leave feedback on Google Reviews, TripAdvisor, Booking, Facebook, Instagram, YouTube, and other public platforms.
Instead of analyzing each source individually, the company uses the SFI to consolidate customer perception into a single company-level score that reflects overall satisfaction across its portfolio.
A restaurant brand receives thousands of comments every month across review websites and social media platforms. Some channels provide ratings, while others contain only text-based feedback.
The SFI combines these signals into a standardized score, helping leadership teams understand overall customer satisfaction without manually analyzing every platform.
A company has an SFI of 81 while the benchmark reference dataset shows an SFI of 74.
This comparison helps decision-makers understand whether customer satisfaction is outperforming, matching, or lagging behind relevant market references.
No. Traditional surveys measure customer sentiment when organizations actively request feedback. The SFI measures customer satisfaction through spontaneous public feedback. The two approaches can be complementary.
The SFI uses public customer feedback collected from review platforms, marketplaces, and social networks. Feedback that does not represent an actual customer experience may be excluded from the calculation.
When a platform does not provide explicit ratings, Yellow Tokens uses AI models to estimate rating-equivalent signals based on the content of customer feedback. Only feedback that clearly reflects a customer experience is considered.
No. The methodology and underlying concepts are transparent, but the exact formula and weighting parameters are proprietary to Yellow Tokens.
The benchmark is a reference dataset used for comparison purposes. It helps organizations understand how their customer satisfaction levels compare against relevant market references analyzed by Yellow Tokens.
The SFI is recalculated as new public feedback becomes available, allowing organizations to continuously analyze changes in customer perception.
Consolidate customer feedback from multiple public channels into a single, standardized score and understand how your organization compares against relevant benchmarks.