A project manager is leading an iterative project to develop a very innovative product. However, a group of stakeholders are hesitant because the high complexity of the product involves many business rules. What should the project manager do?

In iterative and agile projects, the most effective way to manage high complexity and overcome stakeholder hesitation is by delivering tangible value early and often. By ensuring early iterations deliver "early wins" (working, tested features that incorporate some of the complex business rules), the project manager demonstrates the team's capability and the viability of the product. This empirical approach builds stakeholder trust and credibility far more effectively than theoretical plans or past successes. It directly addresses the stakeholders' specific concerns about the current product's complexity while simultaneously reducing project risk through early feedback loops.

A: Seeking advice is a good general practice but does not provide the tangible proof needed to alleviate stakeholder concerns about this specific product's complexity. B: Devising a theoretical plan to build credibility does not demonstrate actual capability; iterative frameworks rely on empirical evidence and working deliverables to build trust. C: Presenting past projects does not prove the team can successfully navigate the unique, high complexity and specific business rules of the current innovative product.

1. Project Management Institute (PMI). Agile Practice Guide. (2017). Section 3.1.1 (Iterative Life Cycles), p. 14; Section 4.3.2 (Frequent Delivery), p. 44. (Details how frequent, early delivery of working increments builds stakeholder trust and manages high-uncertainty/complex work).

2. Project Management Institute (PMI). A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Seventh Edition. (2021). Section 2.3.4 (Delivery on the Cadence), p. 46; Section 2.1.1 (Stakeholder Engagement), p. 11. (Explains how delivering early wins and value on a regular cadence fosters stakeholder confidence and mitigates complexity risks).