July 17, 2026blog

Product Breakdown: 4 LinkedIn Features That Could Improve Hiring and Networking

LinkedIn powers millions of professional connections every day, yet small UX gaps continue to create unnecessary friction for job seekers and recruiters. In this product breakdown, we explore four practical feature improvements that could make hiring, networking, and job discovery more transparent and efficient.

4 min read406 viewsBy Shivam
Product Breakdown: 4 LinkedIn Features That Could Improve Hiring and Networking

Product Breakdown: 4 LinkedIn Features That Could Improve Hiring and Networking

Category: Product
Author: Shivam, Founder at Fidusia


Introduction

LinkedIn has become the world's largest professional network, connecting millions of professionals, recruiters, founders, and students every day.

Whether you're searching for your first internship, hiring talent, or building meaningful professional relationships, LinkedIn has become an essential part of the journey.

However, even mature products have room for improvement.

While actively using LinkedIn for networking, hiring, and job discovery, I noticed several recurring usability issues. Individually they may seem small, but together they create unnecessary friction across the user journey.

This article explores four product improvements that could make LinkedIn more transparent, efficient, and user-centric.


1. Compensation Shouldn't Be Hidden Inside Job Descriptions

The Problem

Finding salary information often feels like a treasure hunt.

Some recruiters mention it in the final paragraph.

Others hide it between responsibilities.

Many don't mention it at all.

Candidates spend valuable time evaluating opportunities that may never match their expectations.


Proposed Solution

Introduce a standardized job posting template with structured fields for:

  • Compensation (CTC/Stipend)
  • Employment Type
  • Work Mode
  • Experience
  • Responsibilities
  • Required Skills
  • Benefits

Instead of embedding salary information inside free-form text, LinkedIn should treat compensation as structured metadata.


Benefits

For Candidates

  • Better transparency
  • Faster decision making
  • Easy comparison between opportunities
  • Reduced application fatigue

For Recruiters

  • Better qualified applicants
  • Reduced interview mismatches
  • Improved hiring efficiency

For LinkedIn

  • Rich structured data
  • Better recommendation engine
  • Improved search filters
  • Higher user trust

Tradeoff

Some employers may prefer not to disclose compensation.

A simple "Not Disclosed" option preserves flexibility while increasing transparency compared to today's experience.


2. Connection Requests Need More Context

The Problem

Most connection requests look exactly the same.

Recipients rarely know why someone wants to connect.

Is it:

  • Networking?
  • Referral?
  • Mentorship?
  • Hiring?
  • Business?

Without context, many requests are ignored.


Proposed Solution

Allow users to optionally categorize connection requests.

Example categories:

  • Job Search
  • Mentorship
  • Networking
  • Business Opportunity
  • Hiring
  • Collaboration

Recipients immediately understand the sender's intent before accepting the request.


Reminder System

If a request remains unopened:

  • Send a reminder after 7 days.
  • Allow one optional follow-up after 14 days.

Reminder frequency should be limited to prevent spam.


Benefits

  • Higher acceptance rates
  • Better networking quality
  • Improved organization
  • Increased platform engagement

Tradeoff

Priority categories can be abused.

LinkedIn can solve this by limiting reminder frequency and restricting repeated "high priority" requests.


3. Compensation-Based Job Alerts

The Problem

Job alerts today are primarily based on:

  • Job Title
  • Company
  • Location

Compensation is one of the most important decision-making factors but isn't treated as a primary filter.


Proposed Solution

Allow users to create job alerts based on salary expectations.

Examples:

  • ₹6–10 LPA
  • Above ₹15 LPA
  • Remote internships above ₹30,000/month

This significantly improves notification relevance while reducing alert fatigue.


4. Make Connection Limits Visible

Many students and early professionals don't realize LinkedIn has connection request limits until they suddenly hit them.

A simple progress indicator on the My Network page could solve this.

Example

Connection Requests Remaining

████████░░ 80%

Small UX improvements like this often have an outsized impact on user experience.


Prioritizing the Ideas

Every feature competes for engineering resources.

Using the RICE Framework (Reach, Impact, Confidence, Effort) helps prioritize objectively.

FeaturePriority
Reminder & Follow-up System⭐ Highest
Standardized Job Template⭐ High
Connection Categorization⭐ High
Compensation-Based Job AlertsMedium

The reminder system stands out because it delivers significant user value with relatively low implementation effort.


Key Product Takeaways

  • Transparency reduces user friction.
  • Context improves networking quality.
  • Structured data creates better personalization.
  • Small UX improvements often create disproportionate impact.
  • Product decisions should prioritize solving real user problems rather than simply adding more features.

Final Thoughts

LinkedIn has transformed how professionals build careers and relationships.

As the platform continues to evolve, refining its core experiences can create far greater value than continuously adding new capabilities.

The ideas discussed here aren't about making LinkedIn more complex—they're about making it more intuitive, transparent, and efficient for everyone involved.

Sometimes, the best product innovations aren't the biggest ones.

They're the ones that quietly remove friction from everyday experiences.

Product ManagementUser ExperienceProduct StrategyNetworkingHiringLinkedInProduct CritiqueUX Design