#1 Prompts with AI on:
Conducting Talent Assessments [HR]
“What are the [core/critical/unique skills/skills/capabilities] needed for the role of [insert job title] and how can I assess them using [behavioral/event-based/360-degree questions] [psychometric tests/center exercises assessment] and [performance simulations/skills-based tests/situational judgment exercises] to [measure/predict] [job performance/long-term potential]?”
Prompt #2
“Can you help me [customize/optimize] a list of [behavioral/technical/functional] interview questions to assess [insert skill or trait] during a [phone/online/video] talent assessment, tailored for the [ job title/job level/company culture/specific industry] and taking into account [diversity and inclusion criteria/psychological biases/ethical considerations]?”
Prompt #3
“How can I use [predictive modeling/machine learning-based/AI-enhanced assessment design] and talent assessments to [identify/highlight/maximize] individual potential for [job performance/leadership skills/innovative thinking] in a [multifunctional/global/virtual] environment, taking into account [cultural intelligence/cognitive diversity/psychological safety]?”
Prompt #4
“What are some [cognitive/emotional/behavioral] [common/unexpected/subtle] challenges that arise during talent assessments and how can I [mitigate/overcome/advantage them] using [adaptive testing methods/human perception / technology-assisted feedback] to [optimize / adjust / individualize] the assessment process for developing [diverse / inclusive / transformative] talent?”
Prompt #5
“Can you provide guidance on how to [effectively/scientifically analyze] talent assessment results using [multivariate regression models/decision trees/neural networks] and [qualitative feedback/peer review/self-reflection] to [create plans actionable development strategies/inform talent management decisions/measure the impact of diversity and inclusion initiatives] on [individual/team/organizational performance] and [innovation/engagement/sustainability]?”
