Match Score — Detailed Reference

This article is a detailed internal reference on how the Match Score is calculated, what each component means, and how to use this information when assisting users through the chatbot.

Important: The current Match Score formula is a temporary placeholder used before the AI-powered assessment module is fully integrated. Weights and components are subject to change. This document reflects version 1.0 of the formula as defined by the Solution Architecture Team.

Formula Overview

The Final Match Score is computed from three components, each carrying a defined weight.


Profile Completion  —  10% of the final score

Assessment Score  —  60% of the final score

Skill Match  —  30% of the final score


Final Match Score = (Profile Completion × 10%) + (Assessment Score × 60%) + (Skill Match × 30%)

Component 1 — Profile Completion (10%)

Measures how completely the applicant has filled out all required profile sections in the system.


Profile Completion Score = (Sections Completed ÷ Total Sections) × 10%


Profile completion reflects applicant effort and data quality. For interns, this is treated as a meaningful signal of initiative and attention to detail.

Component 2 — Assessment Score (60%)

Covers three assessments. Problem Solving carries the highest weight because it is the only assessment with a directly measurable score. The 16 Personalities and DISC assessments are external tools and are scored on a completion basis only.


Problem Solving  —  50% of the Assessment Score (30 points maximum)

16 Personality Test  —  25% of the Assessment Score (15 points maximum)

DISC Test  —  25% of the Assessment Score (15 points maximum)


Assessment Score = (Problem Solving Score × 30%) + (16 Personality Completed × 15%) + (DISC Completed × 15%)


16 Personalities and DISC are binary: 15 points if completed, 0 points if not completed. Completion is verified manually. Problem Solving is scored based on the actual score achieved.

Note: 16 Personality and DISC are external platforms. Scores cannot be directly pulled into the system at this time. This will be replaced once AI assessments are centralized in the system.

Component 3 — Skill Match (30%)

Measures the applicant's technical skills through two sub-components.


Resume Submission  —  10 points (binary: uploaded = 10 pts, not uploaded = 0 pts)

Number of Skills Selected  —  20 points maximum


Skill Match Score = (Resume Submitted × 10%) + ((Skills Selected ÷ 5) × 20%)


Applicants select from a list of 5 technical skills. Each skill selected contributes equally. The maximum score of 20 points is achieved when all 5 skills are selected.

Note: Skills Selected is capped at 5. If an applicant selects all 5, they receive the full 20 points for this sub-component.

Worked Example

Candidate: Juan dela Cruz


Resume: Uploaded

Skills Selected: 4 out of 5

Problem Solving Score: 80%

16 Personality Test: Completed

DISC Test: Completed

Profile Completion: 90%


Step-by-step calculation

Profile Completion   90% × 10% = 9.0 pts


Assessment Score:

   Problem Solving   80% × 30% = 24.0 pts

   16 Personality    Completed × 15% = 15.0 pts

   DISC Test         Completed × 15% = 15.0 pts

   Assessment Total = 54.0 pts


Skill Match:

   Resume            Uploaded × 10% = 10.0 pts

   Skills Selected   (4 ÷ 5) × 20% = 16.0 pts

   Skill Match Total = 26.0 pts


Final Match Score = 9.0 + 54.0 + 26.0 = 89.0%

Score Interpretation

The final score is interpreted using the following tiers.


85% – 100%  —  Strong Match. Fast-track to next stage.

70% – 84%  —  Good Match. Proceed with standard review.

55% – 69%  —  Partial Match. Consider with caution.

Below 55%  —  Weak Match. Does not meet minimum threshold.

Future State — AI Assessment Integration

This formula is temporary. Once the AI-powered assessment module is developed and centralized in the system, the following changes are expected.


Skill Match: currently 30%, future weight TBD.

Assessment Score: currently 60% and mostly completion-based. Expected to increase to 60–70% with AI-scored assessments replacing binary completion checks.

Profile Completion: currently 10%, future weight TBD.

Problem Solving: currently external and manually verified. Future: integrated and system-scored.

16 Personality / DISC: currently completion-only. Future: fully scored and integrated into the system.


Note: Upon AI integration, Assessment Score is expected to become the primary scoring signal. The formula will be revised and re-documented at that time.

Guidance for the Chatbot

When a job seeker asks why their score is low

Explain the three most likely causes: their profile is incomplete (affecting the 10% Profile Completion component), they did not select all relevant skills or did not upload a resume during their application (affecting the 30% Skill Match component), or they did not complete one or more of the three assessments (affecting the 60% Assessment Score component).

When a job seeker asks how the score is calculated

Explain the three components: Profile Completion (10%), Assessment Score (60%), and Skill Match (30%). Keep the explanation plain and avoid reciting the full formula unless the user specifically asks. Focus on what they can do to improve: complete their profile, upload a resume, select all relevant skills, and complete all three assessments.

When an employer asks why scores are low across all applicants

The most likely cause is that the Skills field was left empty or had very few entries when the job was created. Suggest editing the posting to add specific skill names. Also note that the Assessment Score (60% of the total) depends on candidates completing all three assessments — if many candidates skipped the DISC or 16 Personalities tests, their scores will be significantly lower.

When a user asks if the score can be changed

The Match Score is always read-only. Neither job seekers nor employers can modify or override it. The chatbot should never suggest otherwise.

When a user asks about the score formula specifically

The chatbot can share the high-level breakdown: Profile Completion is 10%, Assessment Score is 60%, and Skill Match is 30%. If the user wants the detailed formula, the chatbot can explain each component. The chatbot should also note that the current formula is temporary and will be updated when the AI assessment module is fully integrated.

Important Terms Explained

Match Score is a system-generated percentage showing how well a job seeker's profile and application data align with the requirements of a specific job posting. It is read-only for all users.

Profile Completion is the component of the Match Score measuring how fully the applicant has filled in all required profile sections. It contributes 10% of the final score.

Assessment Score is the component covering the three required assessments. It contributes 60% of the final score. Problem Solving is scored on performance; 16 Personalities and DISC are scored on completion only.

Skill Match is the component measuring resume submission and the number of skills selected during the application. It contributes 30% of the final score.

Binary Scoring means a component awards full points if completed and zero points if not completed. There is no partial credit.

Key Takeaway

The Match Score is calculated from three components: Profile Completion (10%), Assessment Score (60%), and Skill Match (30%).

Assessment Score carries the most weight. Completing all three assessments — especially the Problem Solving test — has the greatest impact on a candidate's score.

The current formula is temporary and will be updated once the AI assessment module is integrated into the system.

The score is a signal, not a verdict. Both low and high scores require full profile review before a hiring decision is made.