Alternatives analysis

Key Points

• Compares multiple feasible options against clear decision criteria.
• Used across planning and delivery, including scope, schedule, cost, quality, procurement, and risk response decisions.
• Combines qualitative and quantitative methods such as scoring models, cost-benefit analysis, and experiments.
• Highlights trade-offs and supports transparent, evidence-based decisions.
• Engages stakeholders to agree on criteria, weights, and acceptable constraints.
• Results in a selected option with rationale and updates to plans, logs, and baselines as needed.

Purpose of Analysis

The purpose is to choose the option that best meets the project objective within constraints and stakeholder expectations. It helps balance value, cost, schedule, risk, and compliance while making the decision process explicit and repeatable.

Method Steps

• Clarify the objective and constraints for the decision.
• Define evaluation criteria and, if helpful, assign weights with stakeholder input.
• Identify feasible alternatives, including do-nothing or defer options where relevant.
• Screen out options that clearly fail mandatory constraints or criteria.
• Analyze remaining options using appropriate techniques such as cost-benefit, lifecycle cost, risk assessment, prototypes, or pilots.
• Score, rank, and compare trade-offs; perform sensitivity analysis on key assumptions.
• Select the preferred option, document the rationale, and validate with stakeholders.
• Record decisions and update plans, baselines, and logs as required.

Inputs Needed

• Problem statement, goal, and success criteria.
• Constraints and assumptions, including budget, schedule, quality, compliance, and resource limits.
• Requirements and acceptance criteria relevant to the decision.
• Data for each option such as estimates, benefits, costs, risks, dependencies, and capacity.
• Enterprise environmental factors and organizational policies or standards.
• Stakeholder needs, preferences, and risk appetite.
• Models, tools, and historical data or lessons learned.

Outputs Produced

• Selected alternative with documented rationale and supporting analysis.
• Evaluation matrix or scoring model results.
• Updates to scope, schedule, cost, and quality plans or baselines.
• Updates to risk register, assumptions log, and decision log.
• Recommendations for prototypes, pilots, or further experiments if needed.
• Change requests if the decision impacts approved baselines.

Interpretation Tips

• Keep criteria consistent across options and aligned to the project objective.
• Consider total cost of ownership and lifecycle impacts, not just upfront cost.
• Include uncertainty by assessing risks and running sensitivity checks on key inputs.
• Use simple scoring models for clarity, and only add complexity if it improves decisions.
• Document assumptions so reviewers understand the basis for comparison.
• Revisit the analysis if constraints change or new information emerges.

Example

A team must choose how to deliver a new capability: build in-house, buy a commercial solution, or use a hybrid approach. They define criteria and weights such as time to value (30%), cost (25%), functional fit (25%), and risk (20). After gathering data, they score each option, run a quick sensitivity test on time-to-value and risk, and select the hybrid option, documenting the rationale and updating the schedule and risk register.

Pitfalls

• Unclear or shifting decision criteria leading to biased results.
• Focusing only on lowest cost and ignoring value, risk, and lifecycle impacts.
• Analysis paralysis from too many options or overly complex models.
• Using stale or low-quality data for estimates and benefits.
• Insufficient stakeholder involvement and lack of buy-in.
• Failure to document assumptions, trade-offs, and rationale.

PMP Example Question

During planning, the team has three viable ways to meet a key requirement, each with different costs, durations, and risks. What should the project manager do first to conduct effective alternatives analysis?

1. Ask the sponsor to choose the option that fits the budget best.
2. Define and agree on evaluation criteria and weights with stakeholders.
3. Immediately run a Monte Carlo simulation for each option.
4. Select the lowest-cost option to save decision time.

Correct Answer: B — Define and agree on evaluation criteria and weights with stakeholders.

Explanation: Alternatives analysis starts with clear, agreed criteria to ensure a fair comparison. Advanced analysis or cost-only selection comes after criteria are set.