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.
Organize Team Decision Making for Better Results
A rigorous, practical guide to organize collective choices through clear decision rights, relevant participation, shared evidence, independent judgment, structured dialogue, commitment, 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.
How Good Are Your Project Management Skills?
A serious project-management self-assessment examines evidence from live decisions and outcomes rather than producing a flattering personality score. This chapter offers a capability model, behavioral rubrics, artifact review, multisource feedback, simulation, development experiments, safeguards, and a 90-day growth plan.
The Delphi Method: Design, Consensus, and Evidence
The Delphi method gathers expert judgment across iterative questionnaire rounds with controlled feedback. This chapter explains when Delphi is appropriate, panel selection, anonymity, round design, evidence briefs, consensus definitions, qualitative synthesis, attrition, stability, disagreement, reporting, ethics, and how to translate expert judgment into accountable decisions.
The Stepladder Technique for Better Group Decisions
The Stepladder Technique structures how members enter a decision discussion so each person contributes before being influenced by the existing group. This chapter explains independent preparation, core-pair formation, sequential entry, evidence capture, order effects, hierarchy, remote adaptation, decision rules, validation, and limits.
Avoiding Groupthink: Build Decisions That Invite Dissent
Groupthink describes a pattern in which pressure for agreement undermines realistic appraisal. This chapter examines the theory and its criticisms, conformity, shared-information bias, authority, escalation, authentic versus assigned dissent, red teams, premortems, independent estimates, decision records, and safeguards for high-quality group choice.
Hartnett’s Consensus-Oriented Decision-Making Model
Hartnett’s Consensus-Oriented Decision-Making model guides groups from framing and open discussion through proposal development, concern testing, modification, decision, and implementation. This chapter explains its seven steps, consensus meaning, facilitation, stand-asides and objections, authority, evidence, accessibility, power, failure modes, and responsible use.
Quantitative Pros and Cons: A Decision Guide
Quantitative pros and cons extends a simple list into a transparent multi-criteria decision model. This chapter explains objectives, alternatives, measurement scales, swing weighting, scoring, uncertainty, sensitivity, stakeholder distribution, validation, and the false precision that can turn arithmetic into camouflage.
Business Experiments: Design Evidence That Decides
Business experiments turn uncertain strategic and operating assumptions into causal evidence. This chapter covers estimands, randomization, controls, power, interference, instrumentation, guardrails, sequential decisions, heterogeneity, external validity, ethics, implementation, and how to distinguish experimentation from shipping and watching a dashboard.
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.