Why you should use A/B Testing Test?

The A/B -testtest makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects: Design af effektive A/B -tests Analyse af data for at tegne indsigt Integrering af A/B -test i applikationer Test af webapplikationer til ydeevne Optimering af konverteringer gennem A/B -test Forståelse af statistisk betydning i A/B -test Identificering og løsning af testkonflikter Analyse af brugeradfærd i A/B -test Implementering af A/B -testrammer Udvikling af datadrevne hypoteser

A/B Testing Test

Q: What topics are covered in the A/B Testing Test?

Design af A/B -test Dataanalyse A/B -testintegrationer A/B -test af webapplikationer A/B -testkonverteringer

About the test:

A/B-testtesten vurderer en kandidats viden om A/B-testmetodologier og deres evne til at analysere og fortolke data for at tage datadrevne beslutninger. Det evaluerer deres forståelse af statistiske begreber, eksperimentel design, hypotesetest og dataanalyseteknikker.

Covered skills:

Design af A/B -test
A/B -testintegrationer
A/B -testkonverteringer

Dataanalyse
A/B -test af webapplikationer

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9 reasons why

Adaface A/B Test is the most accurate way to shortlist Dataanalytikers

Reason #1

Tests for on-the-job skills

The A/B Testing Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Design og implementering af A/B -test
Analyse af data for at trække meningsfuld indsigt
Integrering af A/B -test i forskellige systemer
Test af webapplikationer ved hjælp af A/B -metoder
Optimering af konverteringer ved hjælp af A/B -test

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

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Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

Dette er kun en lille prøve fra vores bibliotek med 10.000+ spørgsmål. De faktiske spørgsmål om dette A/B -testtest vil være ikke-gåbart.

🧐 Question
Medium Hiring Developer Skewed Data Graph	Try practice test
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
Medium Negative correlation	Try practice test
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

	🧐 Question	🔧 Skill
	Medium Hiring Developer Skewed Data Graph	3 mins Data Analysis	Try practice test
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
	Medium Negative correlation	2 mins Data Analysis	Try practice test
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Hiring Developer Skewed Data Graph	Data Analysis	Medium	3 mins	Try practice test
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
	Negative correlation	Data Analysis	Medium	2 mins	Try practice test
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

Reason #4

1200+ customers in 75 countries

Med Adaface var vi i stand til at optimere vores indledende screeningsproces med op mod 75 %, hvilket frigjorde kostbar tid for både ansættelsesledere og vores talentanskaffelsesteam!

Brandon Lee, Leder af mennesker, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment A/B -testtest in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the A/B -testtest from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

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About the A/B Assessment Test

Why you should use Pre-employment A/B Testing Test?

The A/B -testtest makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Design af effektive A/B -tests
Analyse af data for at tegne indsigt
Integrering af A/B -test i applikationer
Test af webapplikationer til ydeevne
Optimering af konverteringer gennem A/B -test
Forståelse af statistisk betydning i A/B -test
Identificering og løsning af testkonflikter
Analyse af brugeradfærd i A/B -test
Implementering af A/B -testrammer
Udvikling af datadrevne hypoteser

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the A/B Testing Test?

dataanalyse
Dataanalyse er processen med at inspicere, rengøre, omdanne og modellere data til Afdæk nyttige indsigter og mønstre. I forbindelse med A/B -test er dataanalyse vigtig for at fortolke eksperimentelle resultater, validere hypoteser og bestemme statistisk signifikante forskelle mellem varianter.
A/B -testintegrationer
A// B -testintegrationer henviser til muligheden for at integrere A/B -testværktøjer med andre systemer eller platforme såsom webanalyseværktøjer, Customer Relationship Management (CRM) software eller marketingautomationsplatforme. Denne færdighed sikrer glat dataflow, nøjagtig sporing og muliggør avanceret målretning og personalisering.
Full list of covered topics
The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for A/B -testtest to be based on.
Testdesign
Beregning af prøvestørrelse
Hypotese testning
Kontrol- og behandlingsgrupper
Randomisering
Dataindsamling
Statistisk analyse
Tillidintervaller
A/B -testmålinger
Datavisualisering
Segmentering
Statistisk betydning
Nul og alternative hypoteser
Magtanalyse
Multivariat test
Eksperimentel bias
Datatolkning
Optimering af konverteringsfrekvens
Optimering af brugeroplevelse
Eksperimentelt design
Etiske overvejelser
Datarensning
A/B -testplatforme
A/B -testrapportering
A/B -testbegrænsninger
Statistisk prøveudtagning
Data-drevet beslutningstagning
Regressions analyse
Korrelationsanalyse
Faktoranalyse
Tidsserieanalyse
Datasegmentering
Statistisk inferens
Datamanipulation
Statistiske modeller
Data-drevet indsigt
Undersøgelsesdesign
Dataindsamlingsværktøjer
Statistisk hypotese
Dataanalyseteknikker
Data validering
Datavisualiseringsværktøjer
Konverteringsfrekvensanalyse
Statistisk signifikanstest
Data-drevet beslutningstagning
Eksperimentel kontrol
Statistiske tests
Kohortanalyse
Brugeradfærdsanalyse
Analytics Tools
Data Analytics Workflow
Statistiske softwareværktøjer
A/B -testimplementering
Data-drevet markedsføring
Data-drevet optimering
A/B -test af bedste praksis
Dataanalysefærdigheder

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What roles can I use the A/B Testing Test for?

Dataanalytiker
Marketinganalytiker
Produktchef
Business analytiker
Dataforsker

How is the A/B Testing Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Design af eksperimenter til forskellige brugersegmenter
Brug af statistiske metoder i dataanalyse
Udførelse af A/B -test på store datasæt
Implementering af A/B -test af bedste praksis
Evaluering af brugeroplevelse i A/B -test
Fortolkning af A/B -testresultater nøjagtigt
Oprettelse af effektive testvariationer
Optimering af testvarighed og prøvestørrelse
Overvågning af A/B-test i realtid
Tilvejebringelse af handlingsmæssige henstillinger

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Ansættelseslederne mente, at de gennem de tekniske spørgsmål, som de stillede under panelinterviewene, var i stand til at fortælle, hvilke kandidater der havde bedre score og differentieret med dem, der ikke scorede så godt. De er meget tilfreds med kvaliteten af de kandidater, der er nomineret med Adaface-screeningen.

85%

Reduktion i screeningstid

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A/B Online Test Ofte stillede spørgsmål

Kan jeg kombinere flere færdigheder i en brugerdefineret vurdering?

Ja absolut. Brugerdefinerede vurderinger er oprettet baseret på din jobbeskrivelse og vil omfatte spørgsmål om alle must-have-færdigheder, du angiver.

Har du nogen anti-cheating eller proctoring-funktioner på plads?

Vi har følgende anti-cheating-funktioner på plads:

Ikke-gåbare spørgsmål
IP Proctoring
Webproctoring
Webcam Proctoring
Detektion af plagiering
Sikker browser

Læs mere om Proctoring Features.

Hvordan fortolker jeg testresultater?

Den primære ting at huske på er, at en vurdering er et elimineringsværktøj, ikke et udvælgelsesværktøj. En færdighedsvurdering er optimeret for at hjælpe dig med at eliminere kandidater, der ikke er teknisk kvalificerede til rollen, den er ikke optimeret til at hjælpe dig med at finde den bedste kandidat til rollen. Så den ideelle måde at bruge en vurdering på er at beslutte en tærskelværdi (typisk 55%, vi hjælper dig med benchmark) og inviterer alle kandidater, der scorer over tærsklen for de næste interviewrunder.

Hvilken oplevelsesniveau kan jeg bruge denne test til?

Hver Adaface -vurdering tilpasses til din jobbeskrivelse/ ideel kandidatperson (vores emneeksperter vælger de rigtige spørgsmål til din vurdering fra vores bibliotek på 10000+ spørgsmål). Denne vurdering kan tilpasses til ethvert erfaringsniveau.

Får hver kandidat de samme spørgsmål?

Ja, det gør det meget lettere for dig at sammenligne kandidater. Valgmuligheder for MCQ -spørgsmål og rækkefølgen af spørgsmål randomiseres. Vi har anti-cheating/proctoring funktioner på plads. I vores virksomhedsplan har vi også muligheden for at oprette flere versioner af den samme vurdering med spørgsmål om lignende vanskelighedsniveauer.