Pre-Regulatory & Investment Scoping

Projects Start Before the Economic Questions Are Clear

Many clean energy and sustainability projects fail not because the analysis was wrong, but because the wrong analysis was done. Projects often move forward without clear decision criteria, with uncertain regulatory or investment expectations, and with analysis that is either too shallow to defend or too complex to be useful. Once analysis is underway, correcting course becomes expensive and politically difficult.

Unclear Decision Objectives

It is not explicit what decision the analysis is meant to support.

Late Discovery of Requirements

Regulatory, investor, or stakeholder expectations surface after work has begun.

Wasted Analytical Effort

Models and studies are produced that do not materially influence the decision.

Define the Right Economic Questions Before You Commit

Pre-Regulatory & Investment Scoping clarifies what needs to be analyzed, how deep the analysis must go, and what standards it must meet before time, money, or momentum is committed. We work with decision-makers early to define the economic questions that actually need to be answered and the level of rigor required.

Avoid Wasted Analysis

Focus time and resources only on analysis that will influence the decision.

Lower Approval Risk

Ensure the scope aligns with regulatory, board, or investment expectations from the start.

Faster Decisions

Clear scoping shortens review cycles and reduces rework later.

What the Analysis Covers

A structured front-end review designed to set economic work up for success.

Decision Definition: Clarify the specific decision, alternatives, and success criteria.
Stakeholder & Review Context: Identify who will evaluate the decision and what standards must be met.
Economic Questions That Matter: Define which costs, benefits, risks, and trade-offs must be quantified.
Required Level of Rigor: Determine whether high-level screening, full cost–benefit analysis, or targeted validation is appropriate.
Data Availability & Gaps: Assess what data exists, what must be collected, and where assumptions will be required.
Scope Boundaries: Define what is explicitly in scope and out of scope to prevent creep and misalignment.
Analysis Roadmap: Outline the analytical steps required to support the decision efficiently.

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