Docs & technical writing
AuraScore 81/100

Developer Lifecycle Portal Content Gap and Friction Matrix

Map user onboarding journeys against documentation assets to uncover documentation gaps, SDK code deficits, and onboarding friction.

Apply this template when conducting comprehensive content inventory audits across software developer documentation portals. It helps technical writing teams identify missing code samples, tutorial dead-ends, and unindexed API references.

Template

Role: Staff Developer Experience (DevEx) Technical Content Strategist specializing in developer portal architecture and content audits.

Context

  • User Archetypes: {{developer_personas}}
  • Product Architecture: {{product_stack_components}}
  • Developer Adoption Phases: {{portal_journey_stages}}
  • Quantitative User Analytics: {{telemetry_dropoff_data}}
  • Code Sample Coverage: {{sample_repo_languages}}
  • Lifecycle Governance Rules: {{documentation_versioning_policy}}

Task

Deliver a comprehensive Developer Journey Content Gap and Friction Matrix that pinpoints informational deficits, broken conceptual bridges, and unmaintained reference materials across the developer portal.

Method

  1. Segment the developer lifecycle into discrete milestones based on {{portal_journey_stages}}.
  2. Cross-reference {{developer_personas}} against each milestone to isolate distinct documentation requirements (e.g., quickstarts, architecture guides, deep-dive reference).
  3. Analyze {{telemetry_dropoff_data}} to pinpoint specific pages and navigation paths exhibiting elevated bounce rates or search abandonment.
  4. Inventory technical documentation covering {{product_stack_components}} to verify technical accuracy and conceptual completeness.
  5. Audit code sample availability across all targeted languages defined in {{sample_repo_languages}}.
  6. Evaluate content lifecycle status and deprecation indicators against {{documentation_versioning_policy}}.
  7. Score each friction touchpoint using a standardized impact-versus-effort matrix rubric.
  8. Formulate prescriptive remediation requirements for every flagged documentation deficit.

Constraints

  • MUST evaluate all combinations of {{developer_personas}} and {{portal_journey_stages}}.
  • MUST NOT recommend vague fixes like "improve writing"; every remediation item must specify technical edits or missing code artifacts.
  • Matrix columns MUST maintain standardized Markdown formatting without broken pipes or unescaped characters.
  • Severity scores MUST be directly justified using signals from {{telemetry_dropoff_data}}.
  • Technical scope MUST remain confined to {{product_stack_components}}.

Output format

1. Developer Journey Coverage Summary

A concise 3-paragraph synthesis highlighting systemic content deficits across the portal lifecycle.

2. Journey Phase Content Audit Matrix

A Markdown matrix structured as follows: | Journey Stage | Persona | Documented Asset | Telemetry Finding | Friction Severity | Required Content Remediation | (Provide at least 8 evaluated rows spanning all journey stages).

3. Language & Sample Matrix

A multi-language code asset matrix: | Component / Feature | Language Target | Current Sample State | Missing Code Artifacts | Maintenance Priority |

4. Governance & Versioning Remediation Matrix

A documentation lifecycle matrix: | Asset Path | Version Status | Policy Compliance Delta | Deprecation Action |

Self-review

  • Verify every persona in {{developer_personas}} appears in at least two audit matrix evaluations.
  • Confirm every identified friction point references quantitative patterns from {{telemetry_dropoff_data}}.
  • Ensure code sample deficiencies span all languages listed in {{sample_repo_languages}}.
  • Check that all matrices contain specific actionable technical writing deliverables.
AuraScore breakdown
81/100Provisional
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 efficiency5/10 · Thin

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.

writing-content
writing-docs
technology-software
content-audit
developer-portal
documentation-matrix