Product designer
designerportfolio
intent?readiness?
Keywords miss context
A keyword match can find similar words without understanding whether a candidate is ready, interested, or aligned with the role.
AI MATCHING
Hiring isn't a keyword problem.
It's a fit problem.
Diplotix evaluates skills, intent, experience, recruiter priorities, and hiring context to surface stronger candidate-role matches.
Candidate Profile
Skills
Experience
Preferences
Hiring Signals
IntentLocationSalaryAvailability
Intelligence Layer
Fit Engine
Match Explanation
Strong Match
Skills aligned
Intent aligned
Recruiter priorities satisfied
WHY KEYWORDS FAIL
Keywords find resumes. They don't explain fit.
Most hiring tools search for matching words. That misses candidate intent, transferable skills, preferences, readiness, and recruiter priorities.
Past
Potential
Resumes show history
A resume explains where someone has been, but not always where they can succeed next.
Filters remove nuance
Hard filters can hide strong candidates when skills, location, compensation, or experience need interpretation.
HOW IT WORKS
A matching layer built around hiring signals.
Diplotix combines structured candidate data, job requirements, recruiter preferences, and AI-assisted interpretation into one explainable match view.
Candidate Profile
Skills
Experience
Salary expectations
Work preference
Availability
Hiring Intelligence Layer
understands role context
compares intent
checks readiness
explains fit
Recruiter View
Strong match
Watch item
Next action
MATCHING SIGNALS
Fit is built from more than skills.
ReactResearchSystemsFigmaUX
Skills
What a candidate can do
Diplotix reviews skills, tools, experience, and role requirements to understand capability.
RemoteAligned
SalaryAligned
AvailabilityAligned
Intent
What a candidate wants
Preferences like role type, location, salary, work mode, and availability help explain whether a role is actually aligned.
Previous role
Target role
Context
How experience translates
AI-assisted interpretation helps identify adjacent experience, transferable skills, and career trajectory.
Must-have skill
Hiring urgency
Team context
Recruiter Priorities
What the team needs now
Recruiter requirements, hiring urgency, and must-have criteria shape how matches are prioritized.
EXPLAINABLE MATCHING
A match score is only useful when you can understand it.
Diplotix does not just surface a candidate. It explains why the candidate is relevant and where the team should look closer.
Candidate
Product Designer
- Experience
- 5 years
- Preference
- Remote / Hybrid
- Status
- Available soon
Match Explanation
Strong Match
Review-readyProduct design experience aligns with role scope
Salary expectations fit the posted range
Remote preference matches company policy
Portfolio signals match recruiter priorities
Leadership experience is slightly below preferred level
Review stronger matches faster.
HIRING INTELLIGENCE
Beyond search. Toward explainable hiring.
Traditional hiring software stores applications. Diplotix helps interpret candidate-role fit so recruiters can make faster, clearer decisions.
Signal Inputs
Skills
Intent
Experience
Recruiter Priorities
Hiring Intelligence
Explainable candidate-role fit
OUTCOMES
Better matching creates better hiring workflows.
Faster shortlists
Recruiters spend less time scanning weak-fit candidates.
Clearer decisions
Teams understand why candidates are recommended.
Stronger candidate experience
Candidates are matched to roles that better reflect their skills, preferences, and intent.
Better pipeline visibility
Hiring teams can see fit, gaps, and next actions earlier.
QUESTIONS
AI matching, explained.
What is AI candidate matching?
AI candidate matching uses structured candidate data, job requirements, preferences, and hiring context to identify candidates who are more likely to fit a role.
How is Diplotix different from keyword search?
Keyword search looks for matching words. Diplotix evaluates broader signals such as skills, experience, intent, location, salary, availability, and recruiter priorities.
Does AI replace recruiters?
No. Diplotix is designed to support recruiter judgment by organizing hiring signals and explaining candidate-role fit. Recruiters remain in control of hiring decisions.
What signals does Diplotix use for matching?
Diplotix can use skills, experience, preferences, salary expectations, location, work mode, availability, job requirements, and recruiter priorities.
Can candidates improve their match quality?
Yes. Candidates can improve match quality by keeping profiles, skills, preferences, resumes, availability, and salary expectations accurate and complete.
Are match explanations visible to recruiters?
The goal is to make matching explainable, so recruiters can understand why a candidate is recommended and where additional review may be needed.
START MATCHING BETTER
Turn hiring signals into stronger shortlists.
Use Diplotix to understand candidate fit beyond keywords, resumes, and disconnected workflows.