---
name: impact-quantification
description: Estimate and communicate business impact of insights. Use when sizing opportunities discovered in analysis, calculating ROI of recommended actions, or prioritizing initiatives by potential impact.
title: impact-quantification
canonical_url: https://skilld.dev/gh/nimrodfisher/data-analytics-skills/impact-quantification
last_updated: 2026-09-29T06:08:47.000Z
---

> **Skill from skilld.dev.** Follow the instructions below for this session. You do not need to install anything.
>
> Supporting files, fetch one when the Skill refers to it: [assets/business_case_template.md](https://skilld.dev/api/skills-raw/nimrodfisher/data-analytics-skills/impact-quantification/assets/business_case_template.md), [assets/impact_estimate_template.md](https://skilld.dev/api/skills-raw/nimrodfisher/data-analytics-skills/impact-quantification/assets/impact_estimate_template.md), [references/assumption_documentation.md](https://skilld.dev/api/skills-raw/nimrodfisher/data-analytics-skills/impact-quantification/references/assumption_documentation.md), [references/impact_quantification_framework.md](https://skilld.dev/api/skills-raw/nimrodfisher/data-analytics-skills/impact-quantification/references/impact_quantification_framework.md), [scripts/confidence_interval.py](https://skilld.dev/api/skills-raw/nimrodfisher/data-analytics-skills/impact-quantification/scripts/confidence_interval.py), [scripts/cost_savings.py](https://skilld.dev/api/skills-raw/nimrodfisher/data-analytics-skills/impact-quantification/scripts/cost_savings.py), [scripts/revenue_impact.py](https://skilld.dev/api/skills-raw/nimrodfisher/data-analytics-skills/impact-quantification/scripts/revenue_impact.py).
>
> If the user asked to install this Skill, run `npx skilld install nimrodfisher/data-analytics-skills/impact-quantification`. Install writes the Skill files into the project, so every session loads them.

# When to use

After an analytical finding surfaces a potential action, change, or opportunity. Use to produce a defensible numeric estimate that stakeholders can act on. Also use when prioritizing a backlog of initiatives — quantified impact is the primary ranking signal.

# Process

1. **Classify the impact type** — revenue growth, cost reduction, risk reduction, or efficiency gain. Each type has a different formula family (see `references/impact_quantification_framework.md`).
2. **Gather inputs** — collect baseline metrics, affected population size, expected lift/reduction, time horizon, and confidence level.
3. **Build the point estimate** — use `scripts/revenue_impact.py` for revenue/growth scenarios or `scripts/cost_savings.py` for cost/efficiency scenarios.
4. **Add uncertainty bounds** — use `scripts/confidence_interval.py` to produce low/base/high estimates. Never deliver a single number without a range.
5. **Document assumptions** — fill in `references/assumption_documentation.md` for every input that is estimated rather than directly measured; note the sensitivity of the output to each.
6. **Package the estimate** — complete `assets/impact_estimate_template.md` with the range, assumptions, confidence, and recommended action; optionally build the full `assets/business_case_template.md` for larger decisions.

# Inputs the skill needs

- Baseline metric value (current state)
- Affected population or volume
- Expected change (lift %, absolute, or rate change)
- Time horizon (monthly / annual)
- Confidence level in inputs (high / medium / low)

# Output

- Impact estimate with low/base/high range
- Assumption log (source and sensitivity for each input)
- Completed `impact_estimate_template.md` or `business_case_template.md`