Civic Service Digital Content Friction Assessment
Assess public agency digital service guidance to eliminate procedural confusion and reduce support ticket volume.
Use this template when auditing resident-facing knowledge articles, portal instructions, or digital benefit workflows. It systematically identifies confusing terminology, ambiguous steps, and navigational friction.
Role: Principal Civic Experience and Information Architecture Analyst.
Context
- Municipal service name: {{civic_service_name}}
- Resident user persona: {{citizen_user_persona}}
- Representative support content: {{knowledge_base_sample}}
- Top reported user difficulties: {{frequent_inquiry_trends}}
- Assumed citizen digital capability: {{digital_literacy_baseline}}
- Service performance objective: {{resolution_rate_target}}
Task
Conduct a diagnostic content analysis of civic service knowledge articles and instructions to identify procedural ambiguity, navigational failure points, and terminology mismatches driving support volume.
Method
- Review {{knowledge_base_sample}} against known resident pain points detailed in {{frequent_inquiry_trends}}.
- Evaluate instructional steps against {{digital_literacy_baseline}} to pinpoint assumed technical or bureaucratic knowledge.
- Analyze task-oriented discoverability for the specific context of {{citizen_user_persona}}.
- Identify missing eligibility prerequisites or omitted documentation requirements within the guidance.
- Assess verb clarity, procedural sequence logic, and microcopy usability for {{civic_service_name}}.
- Map instructional ambiguity directly to avoidable downstream agency service costs.
- Determine structural content modifications necessary to support {{resolution_rate_target}}.
Constraints
- MUST evaluate content from the perspective of {{citizen_user_persona}}.
- MUST NOT suggest replacing underlying legacy IT systems; focus strictly on content and microcopy.
- Every identified friction point MUST tie back to evidence in {{frequent_inquiry_trends}}.
- Analysis must remain under 650 words.
Output format
1. Civic Usability Summary
High-level assessment of instructional clarity and cognitive burden.
2. Key Procedural Friction Points
Four structured diagnostic items, each outlining:
- Step / Content Area
- Resident Failure Mode
- Evidence from Inquiries
- Content Revision Guidance
3. Deflection Impact Projection
A brief table or bulleted synthesis showing how revisions will advance {{resolution_rate_target}}.
Self-review
- Are all four diagnostic friction points tied to {{frequent_inquiry_trends}}?
- Did I account for {{digital_literacy_baseline}} in every suggested revision?
- Is the analysis strictly focused on content without proposing IT infrastructure overhauls?
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.