> ## Documentation Index
> Fetch the complete documentation index at: https://irisdocs.prescientlabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Prioritising Opportunities

> Rank opportunities using commercial impact, feasibility, risk, readiness, dependencies and time to value.

A diagnostic should not finish with a flat list of ideas. The client needs to know what to do first.

## Score each opportunity

Use a simple 1–5 scale for:

* business impact;
* feasibility;
* implementation effort;
* data readiness;
* technical complexity;
* change complexity;
* risk;
* time to value;
* strategic importance;
* dependency on other work.

Do not let the arithmetic create false precision. The scorecard should structure discussion, not replace judgment.

## Classify the backlog

### Quick wins

High value, relatively low complexity, limited dependencies.

### Strategic initiatives

High potential value but meaningful implementation, governance or change requirements.

### Prerequisites

Data, integration, process or governance work needed before a larger opportunity becomes viable.

### Low priority

Limited value, weak evidence or poor economics.

## Add confidence

For important assumptions, record whether confidence is:

* high — directly supported by evidence;
* medium — plausible but requires validation;
* low — early hypothesis.

This prevents a speculative ROI estimate from looking as certain as an observed process delay.

## Choose the first project

The first implementation should usually combine:

* clear value;
* understandable scope;
* reasonable delivery risk;
* visible executive relevance;
* a path to proving the wider methodology.

## Consultant talk track

> We are not recommending that you pursue every opportunity. We would start with X because the evidence is strongest, the expected value is meaningful and the implementation path is comparatively contained. Y is attractive, but it depends on prerequisite work first.