Pattern #109: Required Field Labels

Pattern Author: Julian Gaviria - Director of User Experience @thomasnet

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

Almost Certain Loser
-5
-4
-3
-2
-1
0
+1
+2
+3
+4
+5
Almost Certain Winner
Required Field Labels
  1. Showing Required Fields Explaining

    The idea of this pattern is to let users know about which fields are required (ex: using an asterisk).

Median Effects

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Engagement

Ex: Any Action / Visit

?

Conversions

Ex: Signups, Leads

(3 tests)

?

Sales

Ex: Transactions, Upsells

?

Revenue

Ex: AOV, LTV

?

Retention

Ex: Return Visits

?

Referrals

Ex: Social Shares

Tests

Test 257 Tested on Thomasnet.com by Julian Gaviria Julian Sep 09, 2019

Find Out How It Performed With 5,739 Visitors

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  •  

  • Measured by successful registrations   |   p-val (?)

In this followup experiment, field labels without and with a marked asterisk were tested.

Get Access To See The Test Results

Test 256 Tested on An Anonymous Site Aug 23, 2019

Find Out How It Performed With 116,470 Visitors

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  •  

  • Measured by successful registrations   |   p-val (?)

The original had no fields marked as required. The variant had all fields marked as required with an asterisk (and a reference note).

Get Access To See The Test Results

Test 255 Tested on Thomasnet.com by Julian Gaviria Julian Aug 22, 2019

Find Out How It Performed With 5,977 Visitors

Signup Desktop, Mobile
  •  

  • Measured by successful registrations   |   p-val (?)

In this experiment, field labels without and with a marked asterisk were tested.

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.