# On web/SaaS products, which in-product surfaces host empty states and first-run guidance?

Source: Lazyweb Research
Published: 2026-07-07
Sample size: n=11753
Tags: onboarding, ux-patterns, web, saas, design
HTML: https://www.lazyweb.com/research/web-saas-activation-surfaces-empty-states
Markdown: https://www.lazyweb.com/research/web-saas-activation-surfaces-empty-states.md

**Answer.** Across 11,753 labeled desktop product screens, the in-product surfaces where empty states and first-run guidance live are, in order: editor (2,119), feed (1,252), dashboard (1,088), and onboarding (927) [1]. The editor is the single largest activation surface — a blank canvas is the defining web-SaaS empty state. This is a separate universe from the mobile corpus and must not be blended with the 809-app counts [2].

> The editor is the largest web activation surface at 2,119 of 11,753 labeled desktop screens — Lazyweb Research, July 2026.

## Where activation happens on the web

Among in-product desktop screens, the activation-relevant surfaces break down as [1]:

| Surface | Screens |
|---|---|
| Editor | 2,119 |
| Feed | 1,252 |
| Dashboard | 1,088 |
| Onboarding | 927 |

The editor leads by a wide margin. For web SaaS, the empty state that matters most is the blank document, project, or canvas — which is why sample content and templates are such a common mobile analogue for creation tools.

## Reading the surfaces

A dedicated onboarding surface (927 screens) is smaller than the editor, feed, or dashboard, which suggests web products invest more in making the working surface itself non-empty than in a separate onboarding flow. The dashboard (1,088) is the classic "first login, no data yet" surface — the canonical home of the SaaS empty state. Feeds (1,252) carry the same emptiness problem as mobile social feeds, pointing to social seeding as the web analogue.

## How to apply it

If you build web SaaS, prioritize the editor's empty state — it is the most common in-product activation surface and the one a blank-canvas competitor is judged on. Treat the dashboard's zero-data state as a first-class design problem, not an afterthought. If you are comparing against mobile benchmarks, keep the denominators separate: web is 11,753 screens, mobile is 809 apps, and mixing them produces meaningless rates [2].

## Caveats

These are counts of labeled desktop product screens, a distinct universe from the mobile app corpus — never combine the two denominators [2]. The counts are screen-type totals within the in-product set, not company-deduped app prevalence, so they describe surface volume rather than how many products have each surface [1]. Web paywall labels (n=38) are too thin to use and are excluded here [2].

## The numbers

| Stat | Computed from |
| --- | --- |
| Web activation surfaces: editor 2,119, feed 1,252, dashboard 1,088, onboarding 927 | web_activation_surfaces: editor 2119, feed 1252, dashboard 1088, onboarding 927; denominator 11753 web labels, all is_in_product=true |
| Web corpus 11,753 labeled desktop screens (separate from 809-app mobile universe) | universe_denominators web_labels 11753; smallSampleWarnings: web is a distinct universe, web paywall n=38 too thin |

## Methodology

Universe is 11,753 labeled desktop product screens (July 2026), a distinct corpus from the 809-app mobile set; activation surfaces counted by in-product screen type. Counts are screen-type volumes, not company-deduped prevalence, and must not be blended with mobile denominators.

## Sources & citations

- [1] Lazyweb Research analysis of 11,753 labeled desktop product screens (web corpus), July 2026. In-product activation surfaces by screen type; all is_in_product=true.
- [2] Lazyweb Research analysis of 11,753 labeled desktop product screens (web corpus), July 2026. Web corpus is a distinct universe from the 809-app mobile corpus; denominators must not be blended.

## Related questions

- [Which empty-state and activation patterns are most common in mobile apps?](https://www.lazyweb.com/research/empty-state-patterns-prevalence-mobile-apps)
- [Sample content vs social seeding: which empty-state fill pattern is more common?](https://www.lazyweb.com/research/sample-content-vs-social-seeding-empty-state)
- [How do apps get a new user to their first meaningful action?](https://www.lazyweb.com/research/how-apps-drive-first-meaningful-action)