CtrlK
BlogDocsLog inGet started
Tessl Logo

user-feedback-aggregation

Collecting and synthesizing user feedback across channels (support tickets, NPS, in-app feedback, sales calls, social mentions, customer councils) into a continuous signal that informs product decisions. The triage discipline that distinguishes loudest-voice (whoever complains most wins) from averaged-noise (every signal weighted equally) from triaged-synthesis (signal weighted by source quality, frequency, and decision relevance). Triggers on user feedback, customer feedback aggregation, NPS, support ticket analysis, customer councils, feedback synthesis, voice of customer, feedback triage, in-app feedback. Also triggers when feedback channels overflow with volume that does not produce decisions, when the loudest-voice problem is steering roadmap, or when continuous feedback streams need synthesis discipline.

58

Quality

67%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/user-feedback-aggregation/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong, well-crafted skill description that clearly articulates what the skill does (feedback collection, synthesis, and triage across named channels using specific methodologies), when to use it (comprehensive trigger terms plus situational triggers), and occupies a distinct niche. The description is detailed without being padded, uses third-person voice throughout, and provides enough specificity to differentiate from adjacent skills like general product management or customer support.

DimensionReasoningScore

Specificity

Lists multiple concrete actions and concepts: collecting/synthesizing feedback across specific channels (support tickets, NPS, in-app feedback, sales calls, social mentions, customer councils), distinguishing between three named triage approaches (loudest-voice, averaged-noise, triaged-synthesis), and weighting signals by source quality, frequency, and decision relevance.

3 / 3

Completeness

Clearly answers both 'what' (collecting and synthesizing user feedback across channels into continuous signal, applying triage discipline with three named approaches) and 'when' (explicit trigger terms listed, plus situational triggers like 'when feedback channels overflow with volume that does not produce decisions' and 'when the loudest-voice problem is steering roadmap').

3 / 3

Trigger Term Quality

Excellent coverage of natural terms users would say: 'user feedback', 'customer feedback', 'NPS', 'support ticket analysis', 'voice of customer', 'feedback triage', 'in-app feedback', 'customer councils', 'feedback synthesis'. Also includes situational triggers like 'loudest-voice problem' and 'feedback channels overflow' which are natural phrases.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche around feedback aggregation, triage, and synthesis discipline specifically. The named methodologies (loudest-voice, averaged-noise, triaged-synthesis) and specific channel types make it highly distinctive and unlikely to conflict with general product management or customer support skills.

3 / 3

Total

12

/

12

Passed

Implementation

35%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill reads as a comprehensive product management essay on feedback aggregation rather than a lean, actionable skill file. Its core frameworks (triaged-synthesis, frequency-intensity matrix, channel weighting) are valuable conceptual contributions, but the delivery is far too verbose—explaining concepts Claude already understands, repeating ideas across sections, and providing extensive prose where concise tables or templates would serve better. The lack of concrete artifacts, templates, or executable outputs limits actionability.

Suggestions

Cut the content by 50-60%: remove explanatory prose about why feedback matters, what channels are, and philosophical framing—Claude knows these concepts. Keep only the novel frameworks and decision rules.

Add concrete output templates: a feedback triage spreadsheet schema, a synthesis report template, a channel-weighting matrix template that Claude can actually produce when asked to help with feedback aggregation.

Move the detailed channel descriptions, frequency-intensity explanations, and failure modes entirely into reference files, keeping only a brief summary table in the main SKILL.md to serve as a true overview with progressive disclosure.

Add explicit validation checkpoints to the synthesis workflow: e.g., 'Before presenting synthesis, verify: are at least 3 channels represented? Is source weighting documented per decision? Are frequency-intensity assessments attached to each pattern?'

DimensionReasoningScore

Conciseness

Extremely verbose for a skill file. The opening paragraphs explain what feedback aggregation is and why it matters—concepts Claude already knows. Extensive prose on loudest-voice vs averaged-noise, channel descriptions, and closing philosophy sections add significant token cost without proportional actionable value. The content reads more like a product management textbook chapter than a lean skill instruction.

1 / 3

Actionability

The skill provides conceptual frameworks (frequency-intensity matrix, channel-source weighting, 12-consideration checklist) and a worked example for weighting, which gives some concrete guidance. However, there are no executable code snippets, no templates, no specific output formats, and no concrete artifacts to produce—it remains at the level of principles and mental models rather than copy-paste-ready instructions.

2 / 3

Workflow Clarity

The synthesis loop (feedback → triage → periodic synthesis → roadmap) and cadences (daily/weekly/monthly/quarterly) provide a clear sequence. However, there are no explicit validation checkpoints or feedback loops for error recovery—no 'if synthesis reveals conflicting signals, do X' or verification steps. The 12-consideration framework is a checklist but lacks sequencing for when/how to apply it.

2 / 3

Progressive Disclosure

The skill references nine separate reference files with clear links and descriptions, which is good structure. However, no bundle files were provided, so the references are unverifiable. More importantly, the main SKILL.md itself is extremely long with substantial inline content that could have been pushed to references—each section repeats 'Detail in [references/...]' after already covering the topic in depth, making the main file a near-monolithic wall of text rather than a concise overview.

2 / 3

Total

7

/

12

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
rampstackco/claude-skills
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.