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AI Performance Management: Reviews, HRIS, 3400+ Tools
Rating: 4.5 out of 5(49 ratings)
10,171 students

AI Performance Management: Reviews, HRIS, 3400+ Tools

Apply AI to reviews: performance management, goal setting, OKR tracking, employee development, review forms and rubrics
Last updated 10/2026
English
Arabic [Auto],English [Auto],

What you'll learn

  • Take away 3,400+ tools in 657 downloadable resources: lecture presentations plus AI prompts, forms, rubrics and checklists
  • Get our top working files: performance review quality checker, PIP designer, performance review forms library, competency phrases library
  • Copy 618 ready AI prompts for ChatGPT, Claude and Gemini: development plans, review summaries, feedback and analytics
  • Run reviews with ready review forms, meeting scripts, preparation checklists and 238 scorecards, rubrics and matrices
  • See 107 AI services and apps on screen, from a quick look to a detailed demo: Effy AI, 15Five, Lattice, Betterworks, Coursebox and more
  • Set goals and KPIs with ready OKR formats, KPI design procedures and 116 formulas and metric sets
  • Link reviews to pay and development with salary review models, pay equity tools and development plan playbooks
  • Prepare for Claude certification: 14 exam trainers with study games and 2 mock exams, 291 practice questions
  • Learn with Mike, the #1 HR instructor on Udemy: 1,800,000+ enrollments, 170,000 students, about 200 books on Amazon
  • Draw on 20 years of hands-on HR practice at Preply, Wargaming, iDeals and Alfa-Bank

Course content

59 sections • 408 lectures • 201h 16m total length
  • SMART Goals and AI OKRs: OKR Prompt, Betterworks, Marissa AI (6 Tools)25:54
    • The role of AI in SMART goal setting and OKRs

    • Automating the goal-setting process

    • Tools:

    • Betterworks: generating quality goals

    • Marissa AI: automatic generation of goals and key results

    • Sloneek: generation of OKRs and evaluation questionnaires

    Tools in this lecture

    Ready to use on the slides (1)

    • Operations Director OKR Generation Prompt

    Services and apps shown in this lecture (4)

    • Betterworks
    • Marissa AI
    • Sloneek
    • ChatGPT

    Models and methods explained (1)

    • Performance Management Cycle
  • Quiz: Responsible AI in Performance Management
  • AI Performance Analytics: Mesh, Intelogos (3 Tools)26:26
    • Using AI for real-time performance monitoring

    • Predictive analytics and trend detection

    • Tools:

    • Mesh (Nudges): Automating actions to improve performance

    • Intelogos: smart recommendations and reports to improve team performance

    • Skilla.ai: automatic feedback generation and productivity analysis

    Tools in this lecture

    Services and apps shown in this lecture (2)

    • Mesh
    • Intelogos

    Models and methods explained (1)

    • Performance management cycle

Requirements

  • No prior experience with AI or coding required: every method comes with a prompt, form or checklist you can copy
  • Nothing to buy for the course itself: presentations and working files are attached to the lectures
  • Some AI tools (ChatGPT, Claude, Gemini) may need their own accounts or paid plans
  • This is a large library: start with the first five sections, then open the specialist sections you need
  • English at intermediate level or above

Description

This course contains the use of artificial intelligence.

3,465 tools for AI-supported performance management in one course: 2,754 ready-to-use files, prompts, forms, rubrics and checklists, 107 AI services and apps shown on screen, plus 604 models and methods.

Open a lecture, take the tool, use it in this cycle's goals, reviews or development plans.

Why AI has not made reviews easier yet

Everyone has tried asking a chatbot to write a review. The result sounds fluent and says nothing, because the model was given no evidence, no criteria and no format. So managers go back to writing by hand, HR goes back to chasing forms, and AI stays a toy. The gain is real, but it comes from structure: the right prompt, fed with the right data, producing a document in a format you already use.

What changes after this course

You have that structure ready. Prompts that draft a development plan from a role and a gap. Prompts that summarise review evidence instead of inventing it. Forms and rubrics that give the output a shape. Checkers that catch a weak review before it is sent. Worksheets that tell you which HR tasks are worth handing to AI at all, and how to connect the data safely.

The highlight: exam trainers, study games and mock exams

The Claude certification sections come with interactive files you open in a browser and play:

  • 14 exam trainers. Each lesson has a trainer with 12 scenario questions like the exam: you answer, see why, and open the source.
  • Three study games: flashcards, memory and match. Flip the cards and mark what you know, find term and definition pairs on a memory board, or connect the pairs against the clock. The games are built into the same 14 trainer files.
  • Two mock exams. 123 original practice questions in total, 120 minutes for each exam.

What is inside: 3,465 tools, counted file by file

You do not have to take this number on trust. Open any lecture and read its description: every tool inside is listed there by name.

  • 657 downloadable resources: the lecture presentations plus 234 standalone working files (builders, checkers, designers, exam trainers, workbooks and document templates)
  • 2,520 ready-to-use tools inside the presentations:
  • 618 ready AI prompts: three-month employee development plan, employee performance analysis, constructive feedback, HR metrics generation
  • 460 templates and sample documents: AI agent architecture blueprint, system prompt, human handoff summary, AI evaluation plan
  • 405 step-by-step procedures and workflows: performance appraisal cycle, 360-degree feedback implementation, performance improvement plan, team AI rollout
  • 318 checklists: HRIS selection, HRIS setup, performance pay readiness, competency model implementation
  • 306 question lists and conversation scripts: performance review discussions, Google manager feedback survey, employee development planning, OKR review discussions
  • 238 scorecards, rubrics and scoring matrices: merit increase matrix, performance rating scale, five-level competency rating scale, performance and behavior matrix
  • 116 formulas and metric sets: AI performance management impact metrics, learning effectiveness metrics, sales performance metrics, manager effectiveness metrics
  • 59 other working tools: performance check-in cadence, performance review form selection tree, calibration preparation, manager notes translator
  • 107 services and apps shown on screen, from a quick look to a detailed demo: Effy AI, 15Five, Lattice, Betterworks, Coursebox, Leena AI
  • 604 models and methods explained with examples: performance management cycle, skills gap analysis, predictive analytics, few-shot prompting

Where the tools are

  • AI performance core (5 sections, 125 tools). Goals and OKRs with AI, reviews and one-on-ones, development plans and KPIs, AI learning and AI across the employee journey. Here you see AI services on screen, some in a quick look, some in a detailed demo.
  • AI assistants and agents (1,100+ tools). ChatGPT, Claude, Claude Projects, Gemini, Codex agents, prompt engineering, AI HR architecture and AI HRBP agents.
  • Claude certification prep (300+ tools). Two sections with builders, exam trainers and mock exams.
  • Performance and reviews (500+ tools). Performance management principles, appraisal, automated reviews, OKRs, 360 feedback, one-on-ones and playbooks for reviews, improvement and development plans.
  • Rewards (600+ tools). Total rewards, compensation, incentives, job grading, pay equity and AI for compensation.
  • Talent and learning (500+ tools). Competency models, talent management, succession, assessment centres, coaching, leadership development and L&D design.
  • Analytics (400+ tools). HR metrics, people analytics, KPI design, workforce planning and AI people analytics.

Who is teaching

I am Mike, the #1 HR instructor on Udemy, with 1,800,000+ course enrollments from 170,000 students, and the author of about 200 books on Amazon. I built the people system at Preply as it became a unicorn and worked at Wargaming, iDeals and Alfa-Bank across 20 years in HR. I hold PHRi, SHRM-CP and HCI sHRBP certifications and represent HRCI in Eastern Europe.

My performance management experience includes building a complete system at Preply and implementing another from scratch at iDeals. At Preply, I introduced 15Five, OKRs and regular check-ins as part of that system. Based on materials I have seen and feedback I have heard, the company continued using it afterward. These implementations provide the performance management foundation for the tools we explore in this course, including applications of AI.

How to use the course

Watch the first five sections to see AI at work across the performance cycle. Then use the rest as a reference library: section and lecture titles show how many tools are inside, and each lecture description lists them by name, so you can go straight to the prompt or form you need.

What is included

  • 408 lectures across 59 sections, 201 hours
  • 657 downloadable resources: lecture presentations and working files
  • 3,465 tools across the lessons, ready to copy into your own work
  • 14 exam trainers with study games and 2 mock exams for Claude certification: 291 practice questions
  • Lifetime access to all materials
  • Active instructor support in the Q&A section
  • A Udemy Certificate of Completion

Where to start

Take one review you have to write this month. Open the development plan lecture, use the prompt with real evidence about that person, and compare the draft with what you would have written. HR teams that give AI structure get hours back every cycle, and every review written from a blank page is an hour you will spend again next time. Enrol now and start your first lesson today.

Who this course is for:

  • HR managers and HR business partners who run performance management and want AI to take the routine work
  • Performance, talent and L&D specialists building review, feedback and development processes
  • Managers who want ready prompts and forms for goals, one-on-ones and reviews
  • HRIS and people analytics specialists designing AI workflows and agents for HR
  • HR directors planning how AI changes performance and learning systems
  • HR professionals preparing for Claude certification