Pattern #97: Bigger Form Fields

Pattern #97  Tested 3 timesFirst tested by Stanley Zuo Recently tested by Ardit Veliu on Mar 31, 2022

Based on 3 Tests, Members See How Likely Version B Wins Or Loses And By How Much


Measured by the sum of negative and positive tests.

Bigger Form Fields (Variant A) Bigger Form Fields (Variant B)

Expected Median Effects Of B



(2 tests)



(1 tests)



(1 tests)













(3 tests)


Pattern #97: Bigger Form Fields
Was Tested On by Ardit Veliu



Test #404 on Expertinstitute.... by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Ardit Veliu    Mar 31, 2022 Test link

Find Out How It Did With 6,408 Visitors

  • Measured by form completions

In this experiment, the button width was extended to the full width of the form above. Impact on leads was measured.

Get Access To See The Test Results

The Same Pattern Was Also Tested Here



Test #348 on by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Marika Francisco    Apr 22, 2021 Test link

Find Out How It Did With 39,992 Visitors

  • Measured by visits to Get Quote form

In this simple experiment, the size of the "Get Quote" button in the top navigation was increased. 

Get Access To See The Test Results



Test #304 on by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Stanley Zuo    Jun 29, 2020 Test link

Find Out How It Did With 109,372 Visitors

  • Measured by application starts

  • Measured by email submits to create an account

In this experiment, larger "Apply" buttons were shown on a casting detail page. The application funnel would take users through a series of steps leading to a paid membership subscription. The experiment measured initial progression and account signups (email signups).

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Leak #13 from   |   Jun 18, 2019 Signup

Airbnb Switched To A Bigger Button After Running This Design Experiment

Here is a perfectly simple optimization of a "Get started" button on Airbnb's host signup landing page. Airbnb ran an experiment of a smaller vs larger button size. I know because I managed to capture two diverse screenshots with the same date stamp. :) More so, a few months later Airbnb rolled out the later button to 100% of their traffic - hinting at a successful experiment outcome. View Leak

Leak #23 from   |   Sep 9, 2019 Product

Zalando Rejects A/B Tested Company Logos And A Smaller Add-To-Cart Button

Zalando (Germany) has been experimenting with at least two interesting cascade variations on their product page. Both of these variations seem to have been rejected which is consistent with other evidence in favor of larger buttons.  View Leak

Leak #31 from   |   Nov 4, 2019 Home & Landing

Netflix Designs Their Button A Little Too Big

Sooner or later design properties should reach optimums for their given contexts. That is, UI elements will become just right - not too big and not too small, or not too high and not to low, etc. In this leak, it seems that Netflix has approached such an optimum when they tested various button sizes on their landing page. Given that form elements and buttons should generally be bigger, it was inevitable for this new evidence to appear as an example of a button being simply too big - as seen in this beautiful experiment. :) View Leak

Leak #44 from   |   Feb 10, 2020 Global

Etsy Discovers A Better, Padded And Wider Search Bar In This A/B/C Test

Etsy just completed a cascade experiment with 3 version of their global search bar. Interestingly the cascaded version with all inherited changes, took the lead. View Leak

Leak #76 from   |   Feb 4, 2022 Product

Bol A/B Tested A More Padded Button

Last year I captured this button experiment from Bol (a leading online retailer in the Netherlands). They tested a smaller button with less padding against a slightly more bloated one. It's now clear that the variation was rolled out completely - consistent with the bigger form fields and buttons pattern. View Leak

For each pattern, we measure three key data points derived from related tests:

REPEATABILITY - this is a measure of how often a given pattern has generated a positive or negative effect. The higher this number, the more likely the pattern will continue to repeat.

SHALLOW MEDIAN - this is a median effect measured with low intent actions such as initiating the first step of a lengthier process

DEEP MEDIAN - this is derived from the highest intent metrics that we have for a given test such as fully completed signups or sales.