Entrepreneur · Author · Business Educator
Sahil Khanna
Sahil Khanna is an Indian entrepreneur, business educator, and creator known for Intellectual Indies and Lapaas. At Indies Education, he turns business research and operating experience into rigorous, practical lessons.
- 684
- Published lessons
- 1M+
- Primary-channel subscribers
- 2017
- Intellectual Indies founded
Background and practice
From engineering fundamentals to practical business education
Sahil’s published profiles describe a transition from chemical engineering into marketing and management. That combination—systems thinking from engineering and commercial judgment from business—continues to shape how he explains complex ideas.
He founded Intellectual Indies in 2017 and built it into a business-learning content ecosystem covering company case studies, startups, marketing, strategy, and candid founder conversations. He also founded Lapaas, a New Delhi digital-marketing and education business. Sahil describes his entrepreneurial journey as including the eventual exit from the agency he built.
Across workshops, courses, consulting, and digital media, Sahil’s work has reached students, startup founders, legacy-business owners, and operating teams. His primary Intellectual Indies channel has more than one million subscribers. Sahil’s public profiles describe a combined audience above two million across his content ecosystem, while Lapaas course pages report more than 140,000 entrepreneurs reached through its educational work.
At Indies Education, Sahil serves as author and lead educator. Every lesson is designed to go beyond definitions: readers should understand the mechanism, examine evidence and limits, apply a framework, and leave with an action plan and checklist.
Elsewhere
Profiles and source notes
Written by Sahil Khanna
Latest business lessons
Evidence-led chapters designed to move from understanding to action.
Cost-Benefit Analysis: A Practical Business Guide
A rigorous, practical guide to compare incremental benefits and costs against a credible counterfactual while making timing, risk, externalities, distribution, and non-monetized effects visible. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Break-Even Analysis: Formula, Limits and Scenarios
A rigorous, practical guide to calculate and stress-test the volume, revenue, utilization, or time required for incremental contribution to cover relevant fixed commitments. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
NPV and IRR: A Rigorous Investment Guide
A rigorous, practical guide to evaluate investments with incremental cash flows, defensible discount rates, explicit scenarios, and a clear understanding of when NPV and IRR disagree. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into.
Cash Flow Forecasting: Build a Reliable Model
A rigorous, practical guide to forecast the timing and uncertainty of receipts and payments so leaders can protect liquidity, plan financing, and act before cash constraints become crises. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn.
Avoid Psychological Bias in Business Decisions
A rigorous, practical guide to design decision processes that reduce predictable cognitive error through independent evidence, reference classes, alternatives, calibration, dissent, and review. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Prepare Yourself to Make Better Decisions
A rigorous, practical guide to prepare attention, objectives, evidence, emotional state, conflicts, uncertainty, and time so consequential choices are not made from avoidable cognitive depletion or urgency theatre. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn.
Equip Your Team to Make Better Decisions
A rigorous, practical guide to build team decision capability through clear rights, shared context, information access, methods, psychological safety, escalation, resources, and feedback. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
The Ladder of Inference: Test Your Reasoning
A rigorous, practical guide to slow the movement from selected data to meaning, assumptions, conclusions, beliefs, and action so teams can inspect reasoning and learn from disagreement. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis.
Decision Making Under Uncertainty: A Practical Guide
A rigorous, practical guide to choose robust, staged, and learnable actions when probabilities, mechanisms, outcomes, or future conditions are only partly known. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Decision Trees: A Rigorous Managerial Guide
Decision trees make sequential choices, uncertain events, probabilities, and consequences visible. This chapter teaches construction, rollback calculation, sensitivity analysis, value of information, risk attitude, a worked investment case, governance, and the limits of expected value.
How Good Is Your Decision-Making Process?
A rigorous, practical guide to audit decision quality through process evidence, calibration, fairness, implementation, and learning instead of celebrating lucky outcomes. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Conjoint Analysis: Design and Interpret Trade-Offs
A rigorous, practical guide to estimate how people trade product or service attributes by designing realistic choice tasks, modelling preferences, and translating results cautiously into decisions. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into.