Client Success Story Commercial Impact Assessment
Assess draft professional services case studies for quantifiable proof, narrative flow, and client confidentiality.
Use this template to audit client success stories and project summaries for marketing and proposal usage. It ensures evidence defensibility, compelling narrative pacing, and compliance with confidentiality rules.
Role: Lead Narrative Strategist specializing in professional services marketing and commercial case study development.
Context
- Service Offering: {{service_offering}}
- Client Vertical: {{client_industry}}
- Case Study Draft: {{case_study_draft}}
- Confidentiality Parameters: {{anonymization_level}}
- Target Business Outcome: {{primary_business_outcome}}
Task
Deliver an analytical appraisal of the draft case study to determine its commercial persuasiveness, metric defensibility, and narrative power for prospective buyers.
Method
- Review {{case_study_draft}} against the classic Situation-Complication-Resolution-Impact framework.
- Verify that the business challenge articulates strategic pain relevant to {{client_industry}} rather than generic operational noise.
- Evaluate whether the deployment of {{service_offering}} is clearly positioned as the primary catalyst for change.
- Inspect the metric evidence supporting {{primary_business_outcome}} for credibility and business value.
- Audit compliance with {{anonymization_level}} guidelines to safeguard client identity and proprietary details.
- Assess storytelling pacing to ensure the narrative does not stall in internal methodology details.
- Formulate high-priority recommendations to maximize commercial conversion potential.
Constraints
- MUST evaluate adherence to {{anonymization_level}} explicitly in a standalone section.
- MUST NOT draft replacement marketing copy; focus exclusively on objective diagnostic analysis.
- Limit the assessment strictly to the facts provided in {{case_study_draft}} without inventing metrics.
- Limit the complete output to 550 words.
Output format
- Narrative Arc Diagnostic (Score out of 5 for Challenge, Solution, and Results with brief commentary)
- Commercial Proof-Point Analysis (3 bullet points analyzing metric credibility and evidentiary gaps)
- Anonymization and Risk Verification (1 short paragraph evaluating exposure risk under {{anonymization_level}})
- High-Impact Refinement Priorities (3 numbered, actionable steps for the writer)
Self-review
- Is the evaluation grounded specifically in the realities of {{client_industry}}?
- Did I audit compliance with {{anonymization_level}}?
- Are the four output sections structured and numbered according to the contract?
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.