Heatmap

Heatmap audio micro-course (transcript)

Three short podcasts about “Heatmap”. Listen with the interactive player.

Podcast 1 — Introduction & meaning

Narrator: Heatmap is a noun, two syllables: HEAT-map, IPA /ˈhiːtmæp/ — a colour-coded chart showing intensity of values across a grid or surface, where hot colours mean higher activity.

Narrator: In plain English, the heatmap showed clicks on the checkout button; security used a heatmap of incidents; coaches review a heatmap of player movement.

Narrator: From heat plus map — biology used heatmaps for gene expression; web analytics popularised click heatmaps; GIS layers heatmaps of population density.

Narrator: Product teams stare at scroll heatmaps; scientists publish correlation heatmaps; designers test UI heatmaps in sessions.

Narrator: British startups ship heatmap widgets; students learn heatmap colour scales; dashboards default to heatmap tiles.

Narrator: Register is data and UX analytics. Tone is technical, visual, decision-focused.

Narrator: Choropleth maps regions; scatter plots show points; heatmap grids intensity with colour.

Narrator: Remember: a heatmap turns invisible behaviour into a picture you can act on.

Speaker A: The heatmap proved nobody scrolls past the hero — brutal but useful.

Speaker B: Data wins. Example: Our support heatmap spikes on Monday mornings.

Speaker A: Heatmap versus bar chart?

Speaker B: Bar chart compares categories; heatmap shows two dimensions at once — time and page zone.

Speaker A: Synonyms?

Speaker B: Intensity matrix in stats. Click map in UX. Heatmap is the everyday product term.

Speaker A: Mistake?

Speaker B: Using a heatmap with too few data points — looks pretty, means nothing.

Speaker A: Colour scale?

Speaker B: Choose carefully — red-green fails colour-blind users.

Speaker A: Real-time heatmap?

Speaker B: Live ops dashboards love them — watch the hot zone move.

Speaker B: Analytics prompts use heatmap for UX, ops, and BI — never vague chart without heatmap_metric and grid_resolution.

Speaker A: Analytics UI?

Speaker B: Right. Analytics UI:

Speaker B: Design a React analytics dashboard with orange navigation bar and side panel tabs Pages, Heatmap Explorer, and Filters. Render heatmap grid from click_x, click_y with heatmap_metric count. Wireframe before events API.

Speaker A: Events schema?

Speaker B: Heatmap schema:

Speaker B: Draft PostgreSQL tables heatmap_events with event_id, heatmap_metric, cell_x, and cell_y. Summarise schema before SQL — comment heatmap as aggregated intensity cell.

Speaker A: HR desk booking?

Speaker B: Heatmap desks:

Speaker B: Build an HR office heatmap showing desk booking density by floor zone. Chart.js optional overlay. Navigation must label Desk Heatmap. Post JSON fixtures first.

Speaker A: Accounting fraud?

Speaker B: Heatmap risk:

Speaker B: Create an accounting anomaly heatmap of transaction amounts by hour and branch with heatmap_metric volume. Export sample heatmap-risk rules.

Speaker A: Greenfield sports app?

Speaker B: Heatmap pitch:

Speaker B: Generate a football touch heatmap from GPS traces with heatmap_metric touches per pitch cell. Outline heatmap tile renderer before map component.

Speaker A: Theme tokens?

Speaker B: Orange heat:

Speaker B: Implement light and dark themes using CSS variables neutral surfaces and heatmap-orange scale tokens from cool to hot cells only. Export theme JSON documenting heatmap-orange classes.

Speaker A: So heatmap needs heatmap_metric.

Speaker B: Right — grid_resolution set.