Chapters:
00:00 - Introduction
01:14 - Market Feasibility
03:31 - Technical & Operational Feasibility
05:39 - Financial Feasibility
12:29 - Owner Feasibility
14:37 - Risk & Compliance Feasibility
18:23 - Challenges and Solutions
This video provides a complete, practical breakdown of business feasibility, the process every entrepreneur must follow before investing time, money, or resources into any business idea. The objective is to help you evaluate whether a business can realistically survive, scale, and generate sustainable returns.
We begin with market feasibility, covering demand analysis, competitor mapping, unique selling proposition (USP), and buyer persona development to ensure real market demand exists. The discussion then moves into technical and operational feasibility, where required tools, skills, technologies, SOPs, vendor selection, pricing, and daily execution constraints are analyzed.
Next, the video explains financial feasibility in depth, including startup costs, ongoing expenses, pricing strategy, profitability models, break-even analysis, contribution margins, and short- to mid-term cash flow forecasting. This is followed by owner feasibility, assessing whether the founder’s skills, time availability, network access, and risk tolerance align with the business requirements.
Finally, we address risk and compliance feasibility, identifying operational, financial, regulatory, technological, and market-related risks such as supply chain disruptions, seasonality, cash flow volatility, and customer acquisition costs.
The video also highlights common challenges in developing a feasibility study—limited market data, budget constraints, skill gaps, over-optimistic revenue projections, weak risk analysis, and inconsistent operations—along with practical, execution-focused solutions such as lean validation, cash-flow prioritization, realistic forecasting, structured risk mitigation, and basic SOP implementation.
This video is designed for aspiring entrepreneurs, solopreneurs, and small business owners who want to make data-driven decisions and avoid costly mistakes before launching or scaling a business.
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