Five public-signal consistency metrics on your own brand site. Surface the gaps before they show up in churn or CAC.
Scan my brand → Free · A competitorRun any competitor's site through the NES framework. See where their narrative is leaking. Useful before your next pitch or audit.
Scan a competitor →Most companies know whether customers are satisfied. Very few know whether the experience is consistent enough to compound.
NES turns customer voice into a structured consistency score. It classifies experience signals into five bands, identifies where variance concentrates, and surfaces the operational failure points hidden beneath healthy averages.
Today, NES is delivered through paid diagnostics that combine paper-method Predicted scoring, AI-assisted review classification, and direct customer-cohort measurement. The roadmap extends the AI production layer toward lower-friction interfaces, so the same outputs become available at productized prices for SMBs and self-serve buyers:
The methodology is the moat. AI-assisted production is the capability that makes the Inferred tier fast and productized; the Measured tier remains where the deepest, most defensible reading lives.
A brand can have strong ratings and still be leaking growth.
Averages hide the customer cohorts where the experience is breaking. Those cohorts usually show up first in reviews, complaints, refunds, failed onboarding, support friction, marketplace variance, weak repeat purchase, and inconsistent word of mouth.
NES asks a different question.
That is the measurement gap.
The core question is:
Responses are classified into five experience bands.
| Coherent | 9-10 | Highly consistent. The experience is reliably reproduced. |
| Reliable | 7-8 | Mostly consistent. Minor variation does not break trust. |
| Variable | 5-6 | Noticeable variation. The experience lacks a stable core. |
| Scattered | 3-4 | Significant variation. The experience becomes unpredictable. |
| Disordered | 0-2 | Highly inconsistent. The experience feels chaotic or contradictory. |
The headline score is:
The result is a bounded score from −100 to +100. The current working paper positions this as an exploratory diagnostic framework, with statistical validation and broader cohort testing as future work.
NES is delivered across three tiers, each with a defined source. The framework's gold-standard reading is Measured NES from direct customer surveys; the AI-assisted production layer makes the Review-Inferred tier fast and productized.
NES compares what the brand appears to be externally with what customers actually experience.
Convergence Gap = Predicted NES − Measured NES.
A positive gap (Gap > +15) means public signals may be overstating delivered experience. That is the operational risk signal.
A negative gap (Gap < −15) means actual customer experience may be stronger than public signals suggest. That is hidden strength.
A near-zero gap (|Gap| ≤ 10) means external perception and customer reality are broadly aligned. Between those bands sits a Monitor zone (10 < |Gap| ≤ 15) for modest divergence worth tracking.
The convergence gap is where the real diagnosis lives.
Customer experience variance usually shows up before the board-level metric breaks. It appears first as nine recurring leakage signatures.
By the time these problems become visible in revenue, the consistency drift is already embedded in the operating system. NES is designed to surface that drift earlier.
NES is live in market with two products and early recurring revenue: a free Scanner that has analyzed 650+ brands, and NES Signal, a monthly public-signal monitoring subscription now tracking 100+ brands. Paid diagnostics validate the model and calibrate the engine.
Two products in market, early revenue across the full ladder, and a compounding dataset. Each scan and each monthly read makes the next read sharper and the standard harder to displace.
Paid diagnostics validate the scoring model, collect category patterns, and build the calibration base for the productization roadmap. Four engagement models are available today.
NES maintains a public score index of selected brands using public-signal methodology. The score index is not a claim of internal access or endorsement. It is a directional read based on public information, review signals, category context, and the diagnostic toolkit. Use it to see how the framework reads different categories and operating models.
Public-signal analysis only. No internal company data accessed. Directional NES readings, not investment advice or statements of company performance. Brand names used for analytical identification only. NES is not affiliated with, endorsed by, or authorized by the companies analyzed unless explicitly stated. Full disclosures on the Score Index page.
The calculator is designed for founders, operators, marketers, and investors who want a quick read on consistency-driven leakage. It produces a directional NES read plus a 24-month revenue and investment projection, calibrated to the NES v1.0 framework.
The NES working paper introduces the framework, score construction, convergence-gap logic, retrospective illustrations, prospective cohort observations, and limitations.
The framework is currently exploratory. Statistical validation, inter-rater reliability testing, multi-item instrument expansion, and out-of-sample prediction testing remain future work.
If your ratings look healthy but retention, referrals, support load, or channel performance feel inconsistent, NES can identify where the variance is concentrated.