Why Feasibility Study Matters in Software Engineering Lifecycle

 Feasibility studies act as preliminary analyses in a software project life cycle. Developments of this type may be compared to a pilot’s pre-flight checklist. This concept originated in engineering and gained momentum in software development in structured methodologies of the 1970's and 80's. These studies still provide relevance through agile practices toward developing software. Today, 70% of software projects are unsuccessful due to a lack of planning and/or project scope, and these studies are critical for stakeholders, regardless of company size, in risk avoidance and in ensuring investments are successful. These studies provide a system of metrics to close the gap between ideas and a system of structured metrics with qualitative and quantitative/monetary goals.

What Is a Feasibility Study?

Feasibility studies, in simple terms, make an educated guess as to whether a project is possible to accomplish, considering funding, time constraints, technical capabilities, and overall company resources.
These studies are typically constructed at the initiation phase of a project and rely on data from an analysis of the marketplace, cost forecasts, tech position analysis, and stakeholder engagement. The result of this analysis is a suggestion for action and a detailed risk report. Some of these studies can achieve up to a 40% reduction in project failure and/or risk, and can improve resource planning and prioritized goals. These studies are contrasted with business cases, which are based on the assumption of a project pyramid.

Feasibility Study in Software Engineering

In the realm of software engineering, a feasibility study employs a customized version of the established guidelines to address the specific concerns presented by software challenges, such as the need to keep pace with rapidly changing technologies, the need for scalability, and the need for seamless system integration. 
Usually, this study consumes around 5% to 10% of the overall project time, and Software engineering is less predictable, more flexible, and iterative, so this study prevents big time and money costs. Also, the software engineering discipline studies feasibility with a greater emphasis on prototyping a proof-of-concept and considering options that may affect systems' exclusivity and security. It may also assess the shifting from a monolithic application structure to a microservices architecture by considering a skilled, specialized software engineering team and the cost of hosting on the cloud. The study also enforces that the software solves a problem and does not create a new software engineering problem.
 
Types of Feasibility Studies

There are five primary types of software feasibility studies. Each type targets one specific aspect of software engineering feasibility, and simultaneously balancing them in studies is common.

Step-by-Step Process to Conduct a Feasibility Study

1. Preliminary Analysis and Scope Definition:- Deliverables, assumptions, and scope that can be best one.
2. Data gathering and research: Things to include would be surveys, interviews, competitions, and benchmarks. These could be your user feedback (200 EPS surveys), used market data (Gartner), your tech specs, and your historical data. To add further inputs, say the backend devs would take approximately 500 hours to develop.
3.  Technical feasibility: Review your stack (could be as simple as some React Native), prototype the core use case(s), actually build a 1-week MVP, and how you would integrate it (note, AWS Cost Explorer is valuable to simulate your stack).
4. The Operational and Legal Analysis: (Workflows, how would you solve PCI-DSS for compliance, how would you tackle users would be a resistance in your pilots.
5. Risk Analysis and Mitigation: The use of a SWOT/PESTLE is common. For your (supply chain) risks, which vendor would you choose, and how would you back up?
6. Analytical Reporting and Decision: Synthesize your Executive Summary along with it, and define your visuals. From 20-50 pages, present to the C-suite and decide. Proceed with a greenlight, pivot, kill it (if moving forward, quarters).

Tools and Techniques Used in Feasibility Studies

The process should be highly iterative for the emergence of new data.
Here’s some more of the tooling you could stack to be more precise and efficient in your software feasibility study.

• Financial Modeling: Excel/Google Sheets for DCF/NPV; specialized in @Risk for Monte Carlo simulations.
• Project Management: Used MS Project for PERT or CPM charts and Jira or Asana for timelines.
• For UI and UX mockups, use Figma and Adobe XD. For functional prototypes, use low-code tools like Bubble.
• Data Analysis: Used Tableau and Power BI to see how the market looked, and Python with Pandas to run cost simulations.

Methods:

• SWOT Analysis: Putting strategies into four groups.
• Cost-Benefit Analysis: Ratios shown as Benefit: Cost (3:1).
• Delphi Method: anonymous surveys.
• Benchmarking:  Stripe for SaaS examples, Atlas.
• Collaboration: Used SurveyMonkey and TypeForm for stakeholder engagement.

Conclusion

Arya College of Engineering & I.T. says the rapid expansion of technology in 2026 makes feasibility studies mandatory in software engineering as they clarify vague ideas into actual projects, eliminating guesswork and increasing the probability of project success. With systematic analysis of feasibility, studies help make informed choices, minimize costs, and improve the return on investments. Incorporating feasibility studies as a baseline will safeguard your projects.