NOGL

Market Sense / Field guide

Read a signal before you act on it.

Turn a public catalog observation into a question your buying team can investigate, with the source and limitations still attached.

By NOGL · Product guidance

01

Start with a bounded question

Choose a category, market and observation period. Comparing every item in two stores is rarely a useful first decision. A question such as whether a rival lists a zip layer in a particular price band gives your reviewer a specific comparison to assess.

Write down the category, geography and time window before interpreting a result.

02

Keep the observation with its source

Record the source page, retrieval time and the fields actually returned. A product name and visible price are observations; an inferred material or estimated demand is a different type of information. If a field is absent, label it unknown rather than filling it with an assumption.

Check the original listing and identify which attributes were observed and which remain uncertain.

03

Check comparability and coverage

Two similar names can describe different sizes, packs or materials. Currency, tax treatment and promotion timing can also change a price comparison. An incomplete scan cannot establish that a retailer has no matching product. Review coverage before treating absence as a range gap.

Set aside weak matches and retain a note about missing pages or attributes.

04

Hand off a question, with the evidence

A merchant can choose to investigate, gather more evidence or reject the signal. Carry that decision into a concept brief with the original source context. Public catalog evidence alone cannot supply retailer sell-through, margin, stock or a validated demand forecast.

Agree the next evidence to collect and the person responsible before advancing the concept.

Illustrative worksheet

From listing to review question

Scope

What the example says
DACH · training layers · fictional comparison

Observation

What the example says
Example store A lists a zip layer at €79.

Unknown

What the example says
Units sold, available stock and customer preference.

Review question

What the example says
Is this comparable to our planned layer, and what would validate the gap?
Illustrative record created for this guide, 3 October 2026. Store A is fictional; no live retailer result is represented.

Before you hand it over

  • Source and observation time recorded
  • Comparable attributes checked
  • Coverage and unknown fields stated
  • Next question and review owner agreed

Source context: NOGL’s seven-stage workflow. Examples and values were created for this guide; they are not customer cases or live datasets.

The next decision