---
title: Lenses
url: https://nexyron.tech/docs/platform/lenses
description: A Lens is an analytical question made executable and reusable, and it is the unit the product is organised around.
---

# Lenses

Most tools organise around a dashboard or a chat window. A dashboard freezes one shape of one question. A chat window forgets. A Lens is neither: it is a written contract between a business concept and an analytical purpose, and it is the thing that gets reused.

## What a Lens holds

**A subject.** The business concept it reasons about: customers, sites, assets, orders.

**An intent, in plain language.** What you are trying to understand. This governs everything that follows.

**Indicators it chose itself.** Given the intent, Nexyron selects the signals your data can actually support, rather than asking you to specify fields you would have to go and look up.

**A feasibility judgement.** Whether the population is large enough for the result to mean anything. A Lens that cannot answer says so instead of returning a confident number from too few subjects.

**Its evidence.** The series and aggregates behind every claim it makes, kept with the result.

**Its output.** A written report, a model you can score against, and reusable signals the next Lens can build on.

## Why this is the unit

**It survives.** Ask a good question once and you keep it. Run it again next month against current data without rebuilding anything.

**It explains itself.** Because the evidence travels with the result, a Lens can be handed to someone who was not there when it ran, including an auditor.

**It compounds.** The signals one Lens establishes are available to the next. An analytics capability that gets better as you use it, rather than resetting with each request.

**It is honest about its limits.** The refusal to run on insufficient data is deliberate. It is what makes the results you do get worth acting on.

## Typical Lenses

Churn and lapse risk. Revenue and demand forecasting. Utilisation monitoring. Delay and failure root cause. Conversion anomaly detection. Customer journey analysis.

Each is a subject plus a purpose, which is why the list is open-ended rather than a menu of built-in reports.