Suggest suitable vacancies to jobseekers

Job portals and employment agencies recommend suitable vacancies to jobseekers

Needs setupStrictly regulatedRecommending & personalisingStaffing & recruiting, Public administration

Fits: HR · Office, administration & casework

Jobseekers find vacancies that match their experience, wishes and place of residence faster, including those with a different job title. Placement officers have more time for people who need support.

Is this for you?

  • You run a job portal or place many jobseekers and have vacancies and profiles in structured form.
  • You are prepared to disclose the characteristics behind the recommendations and check regularly who gets to see which vacancies.
  • You can manage a rollout project over several months with a provider, data protection and, where there is one, the staff council or works council.
First step today

Without jobseeker data: list the characteristics by which your system or a planned system suggests vacancies, and use the template below to check them for hidden discrimination. You also get made-up test pairs with which you can later check the real system.

How to go about it

  1. Decide what the vacancy suggestions are for
  2. Bring profiles, vacancies and job titles together
  3. Set up recommendations in the portal
  4. Compare with a test group and test pairs
  5. Roll out to all jobseekers
  6. Check the effect and diversity of suggestions

Templates to copy

Try it now
in the training
Analyse
in the training
Plan the rollout
in the training
Included in the training

The complete guide

  • 6 steps explaining exactly what to do
  • 3 proven templates to copy into your own AI
  • Safe use: data, checking, deciding, informing
  • Pitfalls, effort and how to recognise success

With the training you get all 430 guides for as long as your access runs.

See the trainingOne-off per person, no subscription

Same approach, other use cases

13 more use cases follow the pattern “Recommending & personalising”.

Adapt members’ training plans with AIDraft meal plans from preferences and goalsAdapt the difficulty level to how people playAdjust resistance and programme on the machine automaticallyAnalyse skin photos and recommend care productsHave AI find similar products from a customer photoImprove shop search for typos and paraphrasesInvest customer money automatically by risk profilePut together complete outfits from your rangeRecommend personalised products and contentRecommend suitable tariffs based on consumptionRecommend the right size to customers
‹ PreviousSee all use casesNext ›

PD-12 · Legal status 08.10.2026 · Employment and HR (Annex III No. 4)