When Visual Appeal Meets Usability

A comparative usability study of LinkedIn Jobs and Indeed

“Can an interface feel easier to use even when its core functionality creates friction? I explored how visual organization, filtering workflows, and familiarity shape the job-search experience.”

Problem & Target Users

Understanding how interface design affects the experience of finding and filtering job opportunities.

My Role

UX Researcher

Academic research at the University of Trento, independently conducting the comparative study design, participant sessions, and qualitative and quantitative analysis.

Project Type & Context

Academic UX research · Cognitive Ergonomics · University of Trento

Methods & Participants

Comparative Usability Study Within-Subjects Design Counterbalanced Order Post-Task Questionnaires 20 Participants

01 The Challenge

Online job searching is cognitively demanding: users must parse dense text listings, evaluate relevance under time pressure, and manipulate multi-parameter search filters simultaneously.

Both LinkedIn Jobs and Indeed support the exact same fundamental goal—discovering, filtering, and applying to relevant employment opportunities. However, the two platforms organize information and structure filtering interactions in fundamentally different ways:

A

LinkedIn Jobs: Rich, Social & Split-Panel

Integrated into a professional network. Features a modern split-panel layout, visual corporate branding, applicant insights, and active filter pills along the top bar.

B

Indeed: Direct, Minimalist & Filter-First

A search-engine paradigm prioritizing direct keyword queries, prominent category checkboxes, and an uncluttered list without social or promotional distractions.

CENTRAL RESEARCH QUESTION

“How do interface design and filtering workflows influence perceived usability and mental effort during job-search tasks?”

02 Research Approach

I designed and executed a comparative usability study using a within-subjects experimental design with 20 participants (university students and early-career job seekers in the UK).

RESEARCH PROCESS FLOW
20 participants
Two platforms
Job-search tasks
Post-task evaluation
Comparative analysis
Diagram of the research approach showing 5 steps from 20 participants to comparative analysis, detailing Scenario 1 on Indeed and Scenario 2 on LinkedIn Jobs with their respective three filters.

Figure 01: Within-subjects experimental procedure and UK job-search task scenarios.

Experimental Protocol & Task Scenarios

To prevent direct memorization of listings while ensuring comparable cognitive complexity, participants completed two different UK job-search scenarios. Each scenario required applying exactly three specific search filters:

SCENARIO 1 — INDEED 3 Filters

Find a part-time, remote Social Media Manager position in the UK, posted within the last two weeks.

Part-time Remote Last 2 weeks
SCENARIO 2 — LINKEDIN JOBS 3 Filters

Find a full-time, on-site or hybrid Data Analyst position in the UK, posted within the last week.

Full-time On-site or hybrid Last week
Order Counterbalancing: Half the participants evaluated LinkedIn Jobs first, while the other half began on Indeed. While counterbalancing minimizes systematic sequence bias, order and carryover effects cannot be eliminated entirely in a within-subjects design.

Following each task, participants completed 7-point Likert questionnaires adapted from validated UX and ergonomics frameworks (UMUX-Lite for perceived usability, AttrakDiff for pragmatic and hedonic qualities, and VisAWI-S for visual aesthetics), complemented by open-ended qualitative comments.

Evaluated Platform Interfaces
Screenshot of LinkedIn Jobs interface showing search filters for jobs and remote status with a split-panel job description.

Figure 02: LinkedIn Jobs search interface displaying active filter tags and split-panel listing preview.

Screenshot of Indeed interface showing direct search bar, category filter pills, job-type checkboxes, and clean job details card.

Figure 03: Indeed search interface displaying prominent filter controls and direct listing details.

03 Key Findings

Which platform felt more intuitive?

Forced-choice post-study evaluation (n = 20 participants)

✓
100% Reported task completion across both platforms
LinkedIn Jobs 62.5%
37.5% Indeed
62.5%
37.5%

LinkedIn Jobs

✓ REPORTED STRENGTHS
  • Modern visual presentation and clean layout hierarchy.
  • Familiar navigation patterns aligned with daily social apps.
  • Appreciated split-panel layout enabling simultaneous scanning and reading.
! REPORTED FRICTION POINTS
  • Inconsistent search result relevance on specific keyword combinations.
  • Filter accuracy discrepancies requiring manual re-checking.
  • Certain mobile interactions and responsive reflow friction.

Indeed

✓ REPORTED STRENGTHS
  • Direct, straightforward filtering workflow with clear facet controls.
  • Uncluttered, distraction-free interface focused purely on listings.
  • Readily accessible job specifications without promotional noise.
! REPORTED FRICTION POINTS
  • Less modern and visually appealing appearance.
  • Perceived as somewhat visually outdated by participants.
  • Reported mobile interruptions, unexpected modal prompts, or loading delays.
“

Perceived intuitiveness and functional efficiency do not always align.

Methodological note: 100% of participants successfully completed both tasks. The 62.5% vs. 37.5% preference distribution reflects subjective perceived intuitiveness rather than statistically significant performance differences or objectively measured time savings.

04 Takeaways & Reflection

1

Visual clarity shapes confidence.

Layout orderliness, typography, and familiar design patterns significantly influence how intuitive an interface feels at first glance, bolstering user self-efficacy during complex tasks.

2

Core functionality still matters.

Attractive presentation cannot compensate for frustrating or unreliable filtering. When multi-parameter filters fail to return accurate matches, initial aesthetic goodwill rapidly erodes.

3

Preferences need context.

Prior platform familiarity strongly mediates how users judge usability. What feels "intuitive" is often a reflection of existing mental models shaped by habitual daily usage.

Limitations:

Exploratory academic study with a sample of 20 university students and early-career job seekers. Key constraints include reliance on self-reported evaluations rather than automated interaction logging, potential familiarity and learning effects inherent in within-subjects testing, and the intentional use of two different scenarios across platforms.

FORWARD-LOOKING RESEARCH REFLECTION

A compelling next step for this research is combining subjective usability evaluations with objective behavioral measures—such as precision task completion times, filter error and re-query frequencies, and eye-tracking gaze fixations. Doing so would bridge the gap between perceived aesthetic satisfaction and actual cognitive workload during information-seeking tasks.