Compensation, Benefits & Reward Strategy

Compensation, Benefits & Reward Strategy

Compensation, Benefits & Reward Strategy is a structured track of 15 lessons that build a complete, interview-ready understanding of the topic. Work through them in order, then use the quiz and flashcards in each lesson to revise.

What this course covers

  • What Total Rewards Covers and How It Is Structured - Fixed pay, variable pay, benefits and equity as one designed package.
  • Compensation Philosophy: Lead, Lag or Match the Market - Choosing a market position deliberately, and communicating it credibly.
  • Job Evaluation Methods and Internal Equity - Ranking, classification and point-factor methods, and what each costs to run.
  • Salary Benchmarking, Ranges & Midpoints - Reading a survey, building a range, and managing people outside the band.
  • Reading an Indian Salary Structure: Cost to Company Explained - Every component of an Indian salary structure, and what the employee actually receives.
  • Provident Fund, Gratuity & Statutory Components in Pay - How each statutory component is computed, and who bears the cost.
  • Income Tax, Exemptions & Structuring Pay Efficiently in India - The exemptions that still matter, and structuring pay without crossing lines.
  • Variable Pay, Bonus Design & Sales Incentive Plans - Designing a payout curve, setting targets, and avoiding perverse incentives.
  • Employee Stock Options: Grants, Vesting, Cliffs & Indian Taxation - How options work, when tax is triggered in India, and how to explain them plainly.
  • Benefits, Insurance & Flexible Benefit Plans - The benefits employees actually value, and how flexible plans are administered.
  • Annual Increment Cycles, Budgets & Merit Matrices - Distributing an increment budget across performance and position in range.
  • Pay Equity Analysis and Remediating a Gap - Running raw and adjusted gap analysis, then acting on what it shows.
  • Communicating Pay Decisions Without Losing Trust - Explaining an increment, a flat year or a below-range position honestly.
  • AI in Rewards: Benchmarking, Pay Modelling & Equity Detection - Using models on pay data, and why a human must own every pay decision.
  • Case Study: Building a Compensation Structure for a New Function - Levels, ranges and a full cost build for a function being created from scratch.