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build-business-case

Create customer-led business cases and ROI narratives from discovery notes and CRM data.

8|12|Updated Sep 19, 2025
Search Tags:#sales enablement#business case#customer context#value model#roi narrative#deal advancement#evidence labeling
One-click install
npx skills add https://github.com/xpert-ai/xpert-plugins --skill build-business-case-xpert-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: build-business-case
Source: https://github.com/xpert-ai/xpert-plugins/tree/main/community/roles/sales/skills/build-business-case
Command: npx skills add https://github.com/xpert-ai/xpert-plugins --skill build-business-case-xpert-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the gap between raw customer context (discovery notes, metrics, transcripts, public data) and decision-ready business cases, avoiding generic product positioning that fails to resonate with executive buyers and account teams.

Core Features & Use Cases

  • Customer-Led Business Case Building: Creates executive summaries, value hypotheses, ROI narratives, and customer-ready value stories anchored to the customer's specific workflow, strategic priorities, and decision context, not generic product features.
  • Uneven Input Handling: Processes incomplete or messy inputs including pasted discovery notes, customer metrics, CRM data, meeting transcripts, and public company research, clearly labeling assumptions, evidence gaps, and confidence levels.
  • Deal Advancement Support: Produces prioritized use cases, quantified or structural value models, proof points, and follow-up validation questions to help sales teams move deals forward with auditable, grounded value arguments.
  • Use Case Example: A sales rep can turn a messy set of discovery call notes and a customer's stated goal to reduce support ticket resolution time into a structured, executive-ready business case with value hypotheses and next-step questions for the account team.

Quick Start

Use the build-business-case skill to turn your discovery notes and the customer's stated support automation goals into a structured, decision-ready business case for their leadership team.

Frequently Asked Questions about build-business-case

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a business case from discovery notes and CRM data for an executive buyer?▼

To build a business case from discovery notes and CRM data, the Skill processes uneven inputs to create customer-led ROI narratives and executive summaries anchored to the buyer's specific strategic priorities and workflow.

What is the best way to turn meeting transcripts into a value model for deal advancement?▼

The best way to turn meeting transcripts into a value model is to process the raw text into quantified or structural value hypotheses, prioritized use cases, and follow-up validation questions that advance deals with auditable arguments.

Can I create an ROI narrative from incomplete customer context and public company research?▼

Yes, you can create an ROI narrative from incomplete customer context and public research by processing uneven inputs and clearly labeling assumptions, evidence gaps, and confidence levels in the final executive-ready artifact.

How does evidence labeling work when generating an executive summary from messy inputs?▼

Evidence labeling works by enforcing source-disciplined tracking across messy inputs like pasted discovery notes and transcripts, ensuring the generated executive summary contains grounded, auditable value arguments rather than generic positioning.

Does this approach to business case building work for customer-led value stories instead of product positioning?▼

Yes, this approach works specifically for customer-led value stories by anchoring the business case to the customer's commercial context, strategic priorities, and decision criteria rather than relying on generic product features.

What are the limitations of using automated value models for sales enablement?▼

A limitation of using automated value models is that they rely on the quality of your raw inputs; the Skill explicitly labels evidence gaps and assumptions, meaning incomplete discovery data will yield structural rather than fully quantified ROI narratives.

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