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/impact-quantification

@e4e97c5

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.

Use this Skill: https://skilld.dev/gh/nimrodfisher/data-analytics-skills/impact-quantification

This session only. Nothing lands on disk.

assetsbusiness_case_template.md

≈420 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Business Case

Initiative: [name]
Owner: [name and team]
Date: [YYYY-MM-DD]
Decision requested by: [date and from whom]


Executive Summary

[3–5 sentences: what is the initiative, what is the expected impact, what is the ask, and what happens if we don't do it?]


Problem Statement

[What is the current state and why is it a problem? Include the cost or risk of inaction.]

Current state metric: [e.g. conversion rate = 3.2%; industry median = 5.1%]
Cost of current state: [e.g. gap costs ~$X/year in missed revenue]


Proposed Solution

[Brief description of what will be done and how it addresses the problem.]


Expected Impact

Scenario Annual Impact Confidence
Low $[X]
Base $[Y] Medium
High $[Z]

See attached impact estimate for full assumption log.


Investment Required

Item Cost Type
[Engineering / vendor / headcount] $[X] One-time / Recurring
Total $[Y]

Net annual impact (base case): $[impact − recurring cost]
Payback period: [months]
ROI: [net impact / investment × 100]%


Key Risks

Risk Likelihood Impact Mitigation
[e.g. lower-than-expected lift] Medium High Pilot with holdout group before full rollout

Alternatives Considered

Option Why rejected
Do nothing [cost of inaction]
[Alternative approach] [why it's inferior]

Decision and Next Steps

Recommendation: [Approve / Pilot / Defer / Reject]

Action Owner Due date
[Next step] [team] [date]

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub17d

    The skill provides a set of templates and Python scripts for business impact quantification. It performs simple arithmetic on user-provided metrics and does not exhibit any malicious patterns, network activity, or unsafe code execution.

  • Socket17d

    No alerts

  • Snyk17d

    Risk: LOW · No issues

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at e4e97c5. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 5 days ago.

Activeupdated 5 months ago

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