For HR Tech & Recruitment

Every abandoned job application, delayed hire, and unused recruiting feature costs your customers great talent.
DeepSync shows you why.

Candidates expect fast, intuitive applications that work perfectly across devices. Recruiters expect powerful tools to source, screen, interview, and hire efficiently. When either experience breaks down, companies lose qualified talent.

Candidate journey analyticsApplication funnel insightsRecruiter workflow replayEnterprise-ready in under 5 minutes
Heatmap of a job application form showing where candidates hesitate

The challenge

The best candidates don't wait for broken hiring experiences.

Recruitment software serves two very different users — candidates who expect a fast application, and recruiters who expect powerful tools to source, screen, and hire. When either breaks down, companies lose qualified talent.

Applications end after the resume upload

Thousands of candidates can start an application and abandon right after uploading a resume, with no record of what went wrong.

AI matching goes unused

Recruiters may never notice an AI-powered candidate recommendation panel if it's positioned below the fold.

Scheduling eats the hiring timeline

Recruiters can spend more time coordinating interviews than actually evaluating candidates.

Mobile applications underperform quietly

Aggregate completion rates hide that mobile candidates are dropping off at a much higher rate than desktop ones.

The solution

Where DeepSync helps

DeepSync helps HR technology companies understand every interaction across the hiring lifecycle, from the first job search to the final offer letter.

Candidate Applications

Every abandoned application is a potential hire lost

Replay candidate sessions to understand where applicants struggle with resume uploads, profile creation, assessments, document verification, or lengthy application forms. Reduce friction across desktop and mobile.

  • See exactly where candidates abandon a job application
  • Identify resume upload and file format failures
  • Compare completion rates between desktop and mobile
Session replay of a candidate completing a job application

Recruiter Productivity

Recruiters spend hours reviewing candidates and scheduling interviews

DeepSync reveals repetitive workflows, unnecessary clicks, and navigation issues that slow hiring teams down. Build software recruiters enjoy using every day.

  • Watch how recruiters move between resumes, profiles, and pipelines
  • Find repetitive actions that slow down candidate review
  • Identify where hiring managers delay feedback
Rage click detection on a recruiter dashboard

AI Hiring & Candidate Matching

AI recommendations only help if recruiters actually see them

DeepSync helps product teams understand whether AI-powered resume screening, candidate matching, and job recommendations actually improve recruiter productivity, or simply go unused.

  • See whether recruiters notice AI candidate recommendations
  • Measure adoption before and after repositioning a feature
  • Compare recruiter outcomes with and without AI assistance
AI summary panel flagging low candidate-matching adoption

On the ground

What this looks like in a real week.

HR Tech & Recruitment scenarios DeepSync teams run into — and how each one gets fixed.

01

The application nobody finishes

A global job platform notices thousands of candidates abandoning applications before submission. Session replay reveals that applicants repeatedly leave after being asked to manually re-enter information already available in their uploaded resume.

The platform introduces automatic resume parsing and reduces duplicate form fields; application completion increases 28%.

02

Resume upload works... until mobile

An enterprise ATS receives complaints about incomplete applications. Replay sessions reveal candidates on iPhones repeatedly attempt to upload resumes but encounter unsupported file format errors without any explanation.

Clear validation messages and improved mobile upload support reduce application abandonment dramatically.

03

AI candidate matching goes unused

A recruitment platform launches AI-powered candidate recommendations. Months later, adoption remains surprisingly low. Heatmaps show recruiters rarely notice the recommendation panel because it's positioned below the fold.

The product team surfaces recommendations directly within candidate profiles; AI adoption more than doubles.

04

Interview scheduling slows hiring

Recruiters repeatedly switch between calendars, candidate profiles, and email threads to coordinate interviews. Journey analysis identifies scheduling as the longest step in the hiring process.

The platform introduces one-click interview scheduling with calendar integrations; time-to-interview decreases significantly.

05

Hiring managers never leave feedback

Enterprise customers report delays in candidate decisions. Session replay reveals hiring managers frequently forget to submit interview feedback because evaluation forms are hidden behind multiple navigation steps.

The workflow is redesigned with reminders and inline evaluations; hiring decisions become noticeably faster.

06

AI finds a hidden onboarding issue

A new onboarding experience is launched for recruiters, and activation unexpectedly declines. DeepSync AI identifies that recruiters repeatedly abandon workspace setup because team invitations are required before they can explore the platform.

The onboarding flow is redesigned to allow individual exploration first; new account activation improves within days.

07

Job search creates confusion

A recruitment marketplace notices visitors searching multiple times for remote opportunities. Heatmaps reveal users repeatedly clicking inactive filters because location and remote preferences are difficult to discover.

The search experience is redesigned around candidate behavior; job applications increase across remote listings.

08

Enterprise customers ignore automation

An HR platform launches automated interview reminders and workflow automation. Journey analysis shows administrators never enable these features because configuration is buried deep inside settings.

Automation setup is integrated into onboarding; enterprise adoption rises significantly.

What leadership tracks

KPIs this team already reports on.

Application completion rate

Share of started job applications that reach submission.

Resume upload success

Share of resume upload attempts that complete without a file or format error.

Time to first interview

How long it takes a qualified candidate to reach a scheduled interview.

Interview scheduling rate

Share of candidates who successfully schedule an interview once invited.

Offer acceptance rate

Share of extended offers that candidates accept.

Recruiter time-to-productivity

How long it takes a new recruiter to become fully productive in the platform.

Who uses it

One tool, every team, different questions.

Product

Understand where candidates and recruiters experience friction to improve adoption and hiring outcomes.

Engineering

Replay production issues exactly as customers experienced them, reducing debugging time and accelerating fixes.

Growth

Measure which acquisition channels generate completed applications and successful hires, not just job views.

Design

Optimize job search, applications, recruiter dashboards, and interview workflows using real behavioral insights.

Customer Success

Identify enterprise onboarding challenges and proactively improve recruiter adoption across customer organizations.

HR Operations

Monitor hiring workflows, identify delays, and streamline collaboration between recruiters and hiring managers.

Leadership

Receive AI-generated summaries highlighting candidate behavior, recruiter productivity, and hiring funnel performance.

Fits your stack

Works with the tools you already run.

LinkedIn RecruiterGoogle CalendarSlackSegmentMixpanelStripeZendesk
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FAQ

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