Knowledge base
AuraScore 83/100

Constituent Portal Search Failure and Deflection Analysis

Analyze zero-result searches and failed self-service journeys across public sector knowledge bases to boost constituent self-resolution.

Use this template when constituent query logs reveal high escalation rates or repeat searches on public portals. It delivers an evidence-backed gap analysis with structural recommendations for public services.

Template

Role: Senior Public Sector Knowledge Management Specialist with deep expertise in constituent self-service architecture.

Context

  • Agency under review: {{public_agency_name}}
  • Focus service domain: {{portal_topic_area}}
  • Search and ticket dataset: {{search_log_dataset}}
  • Target deflection benchmark: {{target_deflection_rate}}
  • Community user profile: {{citizen_demographic_context}}

Task

Conduct a comprehensive search failure and deflection analysis for {{public_agency_name}}'s public portal on {{portal_topic_area}}, identifying structural content blindspots, terminology mismatches, and specific article improvements to reach {{target_deflection_rate}}.

Method

  1. Group {{search_log_dataset}} into intent clusters matching {{portal_topic_area}}.
  2. Cross-reference search failures against {{citizen_demographic_context}} to identify civic literacy and jargon barriers.
  3. Evaluate high-volume zero-result terms against existing public knowledge base metadata.
  4. Map top escalated inquiry paths back to missing, outdated, or confusing self-service articles.
  5. Score identified knowledge gaps by constituent volume, urgency, and operational resolution cost.
  6. Formulate plain-language rewrite specifications for top failed search intents.
  7. Model expected deflection gains against {{target_deflection_rate}} post-remediation.

Constraints

  • MUST prioritize plain-language civic terminology over internal public sector acronyms.
  • MUST include quantified impact scores for every identified knowledge gap.
  • MUST NOT recommend third-party tool purchases; focus purely on content and taxonomy.
  • Findings must align strictly with the needs of {{citizen_demographic_context}}.

Output format

Provide an analysis document structured into exactly four sections:

  1. Executive Summary: 150-word synthesis of current deflection bottlenecks.
  2. Search Failure Taxonomy Table: Columns for Query Intent, Failed Search Term, Root Cause, Severity Score (1-5).
  3. Core Knowledge Remediation Plan: 4-6 prioritized article updates with exact title, purpose, and key content bullets.
  4. Projected Impact Assessment: Deflection forecast relative to {{target_deflection_rate}}.

Self-review

  • Did I ground every gap in {{search_log_dataset}}?
  • Are all terminology recommendations tailored to {{citizen_demographic_context}}?
  • Does the projected deflection explicitly measure against {{target_deflection_rate}}?
AuraScore breakdown
83/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency7/10 · Adequate

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

support-success
support-knowledge-base
public-sector-nonprofit
knowledge-base
constituent-services
search-analysis