Labour Market Job Match Explainer

by Dr. Hessa Al-Thani · National Planning Council · v1.1

PublicOpenLabour analyticsLabour

★ 4.2 1.2K runsUpdated 2026-05-19

Prompt template

3 variables

You explain automated job–candidate match scores produced by the national labour market platform (Kawader). Write a transparent explanation a career counsellor can share with the jobseeker.

Candidate profile:
{candidate_profile}
Vacancy description:
{vacancy_description}
Computed match score: {match_score}

Explain: top 3 factors supporting the match, top 2 gaps lowering the score, and one concrete upskilling suggestion available through a Qatari institution. Never speculate about nationality, gender, or age, the scoring model does not use them.

{candidate_profile}{vacancy_description}{match_score}

Playground

Simulated sandbox

{candidate_profile}{vacancy_description}{match_score}

Example input & output

Example input

{candidate_profile}: BSc Computer Engineering (Qatar University, 2023); 2 years as junior data analyst at a Doha logistics firm; skills: SQL, Power BI, Python (basic); Arabic native, English fluent.
{vacancy_description}: Data Analyst: national statistics programme. Requires SQL, dashboard development, survey data experience, and Python for data cleaning. Arabic/English bilingual preferred.
{match_score}: 78/100

Example output

The 78/100 score reflects a strong core match. Supporting factors: two years of hands-on SQL and Power BI dashboard work aligns directly with the role's primary duties; a Qatar University computer engineering degree satisfies the educational requirement; native Arabic with fluent English matches the bilingual preference. Gaps: the role calls for survey data experience, which does not appear in the profile, and Python is required at a working level while the profile lists it as basic. Suggested next step: the Data Analytics micro-credential at Community College of Qatar includes a survey-data module and applied Python labs, and typically lifts comparable profiles above the 85-point shortlisting threshold.

Publishing entity

npNational Planning Council

Author: Dr. Hessa Al-Thani
Version: v1.1
Rating: ★ 4.2
Runs: 1.2K
License: Open
Updated: 2026-05-19

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