# Every NPS dashboard

The static dashboard is available in [index.html](./index.html). It is self-contained, responsive, print-friendly, and requires no external libraries or network access.

## Executive readout

- **NPS is +45.1** across 195 responses: 54.9% promoters, 35.4% passives, and 9.7% detractors. The average rating is 8.38; the median is 9.
- **The strongest advocacy language is “practical frontier.”** Comments describing practical utility have an NPS of +69, and those emphasizing current/frontier insight have an NPS of +73, compared with the +45 baseline. This is an association, not proof of causality.
- **Every’s media–product hybrid is distinctive but not sufficient.** 36% of all responses mention both content/media and products/tools. This language appears in 45% of passive comments versus 33% of promoter comments, suggesting people often understand the bundle without yet articulating its payoff.
- **The largest near-term opportunity is the passive middle.** The 69 passive respondents frequently use descriptive language such as “newsletter + apps,” while promoters more often describe an outcome: staying current, learning to use AI, cutting through noise, or becoming more productive.
- **Detractor feedback points to trust and expectation gaps.** The 19 detractors mention product confusion, Mac-only availability, app security concerns, customer support, pricing, and fatigue with the shift toward AI/products. The sample is too small for stable theme percentages, but the specificity warrants an audit.

## Recommended positioning and actions

1. Test **“Practical AI, without the noise”** as the umbrella promise. Present writing, tools, and workshops as evidence for one outcome rather than as separate identities.
2. Create a passive-to-promoter onboarding path: one high-value essay, one repeatable workflow, and one relevant product based on role and platform.
3. Publish a clear compatibility, security, and use-case matrix before checkout, with explicit platform requirements and support expectations.
4. Protect the trust premium by explaining pricing, experiments, and the editorial-to-AI evolution with the same transparency customers praise in the content.

## Assumptions and method

No survey date or respondent metadata were supplied, so the analysis is presented as an undated cross-sectional pulse and does not infer trends or segment differences. Standard NPS bands were used: 0–6 detractor, 7–8 passive, and 9–10 promoter. Comment themes were coded with transparent keyword groups over normalized text; themes overlap, and their NPS values indicate association rather than causation.