What this resource covers
Feasibility analysis asks whether the proposed solution is practical under known business, technical, schedule, resource, and operating conditions. Risk analysis identifies uncertain events that could affect delivery or outcomes and assigns actions and owners.
- Assess whether required technologies, integrations, data, hosting, and skills are available
- Evaluate whether users and operations can adopt the proposed workflow
- Review schedule constraints, dependencies, approvals, and procurement needs
- Identify security, privacy, migration, vendor, and continuity risks
- Recommend proceed, prototype, phase, change direction, or gather more evidence
Information to prepare
Collect business goals, workflow evidence, technical constraints, data quality, integration access, hosting limits, skills, budget, timeline, compliance obligations, dependencies, and failure consequences.
- Business objective and proposed scope
- Existing architecture, systems, interfaces, and data condition
- Team skills and availability
- Hosting, security, compliance, procurement, and operating constraints
- Known deadlines and external dependencies
Expected planning outputs
Produce feasibility findings, assumptions, dependency and risk registers, proof-of-concept recommendations, mitigation owners, decision criteria, and a proceed, reshape, defer, or stop recommendation.
- Feasibility findings and unresolved questions
- Risk register with probability, impact, owner, and treatment
- Prototype or proof-of-concept recommendations
- Delivery options and phasing recommendations
- Decision record with assumptions
Practical example
How it can be applied
Before committing to a lab interface, the team confirms machine protocols, vendor documentation, network access, sample messages, result mappings, error handling, and test-environment availability. Missing protocol access becomes a risk and may require an early technical proof.
Common mistakes to avoid
- Calling a project feasible without checking integration access
- Using optimistic dates that ignore external approvals
- Listing risks without owners or actions
- Treating a prototype as production-ready software
- Ignoring operational adoption and support needs
FAQ
Common questions
Does feasibility analysis guarantee success?
No. It improves decisions using available evidence and makes uncertainty visible. Risks can still change during delivery.
When should a proof of concept be used?
Use one to answer a specific high-risk technical question. Define what evidence will be produced and avoid treating it as finished production code.
How is a risk different from an issue?
A risk is an uncertain future event. An issue has already happened and requires active resolution.