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TeamMatch

Keyfiyyət laboratoriyası

AI-ı necə test edirik: son qiymətləndirmənin real rəqəmləri, uğursuzluqlar daxil.

Son icra: 9 okt 2026, 14:23 · çıxarıcı: heuristic · claude-haiku-5-5 (offline) / claude-sonnet-5-5

Bu icra oflayn evristik çıxarıcıdan istifadə etdi (API açarı yoxdur). LLM-i ölçmək üçün API açarı ilə icra edin.

Qızıl etiketlər profillərlə birlikdə yaradılıb və insan yoxlamasını gözləyir (48-dən 0 yoxlanılıb).

Çıxarma dəqiqliyi

84%

n = 48

Precision@3

73%

baza 22%

Ədalətlilik testləri

24/24

τ min = 1.00

Dayanıqlıq testləri

17/17

Əsaslandırılmış izahlar

45/45

+0 risks by validator

Orta çıxarma müddəti

17 ms

p95 85 ms

Bir profilin xərci

$0.00041

estimated

100 nəfərlik tədbirin xərci

$0.0410

estimated

İlk 3-də pis uyğunluq

0%

baseline 33%

nDCG@5

0.76

baseline 0.28

Sahələr və dillər üzrə çıxarma dəqiqliyi

Sıralama keyfiyyəti: TeamMatch və açar söz bazası

15 scenarios · end-to-end P@3 with extracted profiles: 73%

Hakaton bölgüsü və təsadüfi

Eyni insanların 200 təsadüfi bölgüsünün ortalaması. · 148 ms-də hesablandı

Ədalətlilik testləri

24 kontrfaktual cütdən 24-i eyni sıralama verir (Kendall τ = 1).

Structured profiles identical on scoring fields: 24/24

Rankings identical (Kendall τ = 1), seeker and candidate direction

Explanations free of protected terms (az/ru/en regex): 24/24

Dayanıqlıq testləri

  • typos
  • slang
  • transliteration
  • code-switching
  • very short
  • long irrelevant
  • emojis
  • prompt injection (en)
  • prompt injection (az)
  • prompt injection (ru)
  • self-contradiction
  • missing hours
  • negated skill
  • three languages
  • evening hours
  • protected info only + role
  • shouting

Uğursuz hallar

Yalnız uğurları yox, real uğursuzluqları da göstəririk.

KateqoriyaGirişGözlənilənAlınanEhtimal olunan səbəbNövbəti addım
extraction
s25
Аналитик данных: SQL, Python, Power BI. 3 года в ритейле. Хочу участвовать в хакатонах и прокачать ML. По вечерам, часов…secondaryRoles=[]; hours=[8,12]; commitment="part_time"; goals=["win_hackathon","learn"]secondaryRoles=["backend"]; hours=null; commitment="unknown"; goals=["win_hackathon"]Time stated indirectly (evenings, weekends, a range, or 'full-time but…').Normalize time/role phrases before extraction; review the gold label.
extraction
s47
Менеджер по работе с клиентами в медицинском центре, 3 года. Умею продавать услуги клиникам и врачам. Хочу в healthtech-…primaryRole="sales_bd"; secondaryRoles=["domain_expert"]; skills=["b2b sales","negotiation"]primaryRole="domain_expert"; secondaryRoles=[]; skills=[]Role signal is ambiguous or a negated/sought role was read as the person's own role.Add a few-shot example for this phrasing; extend taxonomy aliases.
extraction
s04
Full-stack dev (React + Node.js), 2 years freelancing, built 6 client websites. I want to build my own product and I'm r…secondaryRoles=[]; goals=["build_startup"]; lookingForRoles=["product","sales_bd","design_ux"]secondaryRoles=["frontend"]; goals=["join_startup"]; lookingForRoles=["design_ux"]Sought roles were implied ('technical co-founder', 'need developers') rather than named.Normalize time/role phrases before extraction; review the gold label.
extraction
s03
Привет! Я бэкенд-разработчик, Java/Spring, 5 лет опыта в банке. Работаю full-time, на стартап могу выделять вечера, часо…skills=["java","sql"]; hours=[8,12]; commitment="part_time"skills=["java"]; hours=40; commitment="full_time"Time stated indirectly (evenings, weekends, a range, or 'full-time but…').Normalize time/role phrases before extraction; review the gold label.
extraction
s37
бекенд разраб, пхп ларавел 2 года, mysql. ищу стартап куда можно влится. могу по вечерамskills=["php","sql"]; hours=[8,15]; commitment="part_time"skills=["sql"]; hours=null; commitment="unknown"Time stated indirectly (evenings, weekends, a range, or 'full-time but…').Normalize time/role phrases before extraction; review the gold label.
extraction
s42
Marketoloqam. SMM və target reklam. Tam ştat işləyə bilərəm, amma yalnız həftəsonları. Startapa qoşulmaq istəyirəm.skills=["smm","digital marketing"]; hours=[8,16]; commitment="weekends_only"skills=["smm"]; hours=40; commitment="full_time"Time stated indirectly (evenings, weekends, a range, or 'full-time but…').Normalize time/role phrases before extraction; review the gold label.
ranking
s06
s06: sales student (weekends, az) needs a technical co-foundertop-3 ⊂ {s27, s10, s01, s29}top-3 = s27(backend), s10(backend), s45(backend)s45 (backend, part_time) fill the needed role but the human label preferred others (time/goal judgement differs from the weights).Review the gold label; if it holds, tune time/goal weights or add a hard filter.
ranking
s14
s14: ML founder (AI chatbot, az, 30h) needs sales/producttop-3 ⊂ {s28, s33, s11, s05, s38}top-3 = s33(sales_bd), s38(product), s29(fullstack)s29 (fullstack, part_time) fill the needed role but the human label preferred others (time/goal judgement differs from the weights).Review the gold label; if it holds, tune time/goal weights or add a hard filter.
ranking
s21
s21: hardware founder (agritech IoT) needs backend/mobile/salestop-3 ⊂ {s10, s27, s28, s01, s33, s05}top-3 = s33(sales_bd), s28(sales_bd), s29(fullstack)s29 (fullstack, part_time) fill the needed role but the human label preferred others (time/goal judgement differs from the weights).Review the gold label; if it holds, tune time/goal weights or add a hard filter.
ranking
s26
s26: doctor with clinic idea (7h, az) needs backendtop-3 ⊂ {s27, s10, s01, s45}top-3 = s29(fullstack), s17(backend), s06(sales_bd)s29 (fullstack, part_time), s17 (backend, part_time), s06 (sales_bd, weekends_only) fill the needed role but the human label preferred others (time/goal judgement differs from the weights).Review the gold label; if it holds, tune time/goal weights or add a hard filter.
ranking
s10
s10: backend founder (fintech, az/ru) needs salestop-3 ⊂ {s05, s28, s33, s15}top-3 = s28(sales_bd), s07(marketing_growth), s33(sales_bd)s07 (marketing_growth, part_time) fill the needed role but the human label preferred others (time/goal judgement differs from the weights).Review the gold label; if it holds, tune time/goal weights or add a hard filter.
ranking
s43
s43: full-stack ex-CTO (full-time) needs sales/producttop-3 ⊂ {s47, s11, s28, s24}top-3 = s15(sales_bd), s47(sales_bd), s11(product)s15 (sales_bd, full_time) fill the needed role but the human label preferred others (time/goal judgement differs from the weights).Review the gold label; if it holds, tune time/goal weights or add a hard filter.
ranking
s11
s11: product manager (full-time, az) needs engineerstop-3 ⊂ {s39, s29, s04, s23}top-3 = s04(fullstack), s43(fullstack), s29(fullstack)s43 (fullstack, full_time) fill the needed role but the human label preferred others (time/goal judgement differs from the weights).Review the gold label; if it holds, tune time/goal weights or add a hard filter.
ranking
s22
s22: product manager (edtech, Russian only) needs developerstop-3 ⊂ {s37, s03, s31, s10}top-3 = s27(backend), s03(backend), s37(backend)s27 (backend, part_time) fill the needed role but the human label preferred others (time/goal judgement differs from the weights).Review the gold label; if it holds, tune time/goal weights or add a hard filter.
ranking
s44
s44: agronomist (Russian only) needs a technical persontop-3 ⊂ {s37, s03, s10, s27}top-3 = s03(backend), s37(backend), s31(backend)s31 (backend, part_time) fill the needed role but the human label preferred others (time/goal judgement differs from the weights).Review the gold label; if it holds, tune time/goal weights or add a hard filter.
ranking
s09
s09: junior frontend (portfolio) needs design + backendtop-3 ⊂ {s02, s45, s17, s13}top-3 = s02(design_ux), s45(backend), s16(marketing_growth)s16 (marketing_growth, part_time) fill the needed role but the human label preferred others (time/goal judgement differs from the weights).Review the gold label; if it holds, tune time/goal weights or add a hard filter.

Bu gün və TeamMatch

Bu gün (Telegram postu / təsadüfi komandalar / açar söz axtarışı)TeamMatch
Tələb olunan rolu çatışmayan komandalar91%67%
İlk 3-də uyğun namizəd (P@3)22%73%
İlk görüşdən əvvəl görünən risklər0hər uyğunluqda orta hesabla 1.2
Qısa siyahıya qədər vaxtistifadəçi müsahibələrindən doldurulacaq< 9 s

Xərclər qeydə alınmış token istifadəsi × dərc olunmuş model qiymətləri əsasında. Estimated: no live calls in this run. Extraction ≈ 1847+450 tokens on claude-haiku-5-5; explanation ≈ 1282+450 on claude-sonnet-5-5. · Bir profilin xərci: $0.00041 · user flow: $0.0358