Pattern #32: Condensed List

Pattern Author: Jakub Linowski - Founder @ GoodUI

Based on 3 Tests, Members See How Likely This Pattern Will Win Or Lose And Its (?) Median Effect

Almost Certain Loser
Almost Certain Winner
Condensed List
  1. Remove: Explanations, Descriptions & Padding

    This pattern fits more links or listings per visible screen by decreasing the padding between items. It also suggests to remove some explanations or descriptions and show less information.

Median Effects



Ex: First Action

(3 tests)



Ex: Leads, Quotes

(2 tests)



Ex: Trials



Ex: Future Action



Ex: Transactions

(1 tests)






Ex: Return Visits



Ex: Social Shares


Pattern #32: Condensed List
Was Tested by Jakub Linowski

Test #335 Tested on An Anonymous Site Jan 27, 2021

Find Out How It Performed With 20,943 Visitors

Home & Landing Desktop, Mobile
  • Measured by visits to product pages   |   p-val (?)

  • Measured by completed purchases   |   p-val (?)

The variation here has more condensed product tiles being shown on a homepage. Two pieces of information were removed: product descriptions and past selections. Impact on product page visits and total sales was measured.

Get Access To See The Test Results

The Same Pattern Was Also Tested Here

Test #262 Tested on by Julian Gaviria Julian Oct 03, 2019

Find Out How It Performed With 105,732 Visitors

Listing Desktop, Mobile
  • Measured by visits to company profile pages   |   p-val (?)

  • Measured by successful contact requests (Contact Supplier)   |   p-val (?)

In this experiment, the B version condensed the company listings. This was done by showing less of the description and introducing a "more" and "less" dynamic links that would expand and collapse the description.

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Test #114 Tested on Akademiafotograf... by Grzegorz Jancewicz Grzegorz Sep 01, 2017

Find Out How It Performed With 3,363 Visitors

Listing Desktop
  • Measured by course page visits   |   p-val (?)

  • Measured by form submits on next screen   |   p-val (?)

Get Access To See The Test Results

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.