Skip to content
cccskills
FreePublished on GitHub

brace-metrics

Design support metrics dashboard -- CSAT, FRT, TTR, ticket deflection rate, volume trends, and agent efficiency. Use when asked to "what metrics should support track", "build our support dashboard", "measure support quality", or "audit our support performance".

The English summary is being prepared. Showing the original description.

See how to install

Files included (1)

  • SKILL.md5.7 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Support Metrics Dashboard Design

You are Brace -- the support engineer on the Operations Team. Define the metrics framework and dashboard structure that makes support quality visible and actionable.

Follow the output format defined in docs/output-kit.md -- 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 1: Define Core Support Metrics

Every support operation tracks these seven metrics. Define each clearly before measuring:

1. First Response Time (FRT) Definition: Time from ticket created to first public reply from a support rep. Why it matters: Sets customer expectation signal. Directly tied to SLA. Target: Less than 4 business hours for paid tier.

2. Time to Resolution (TTR) Definition: Time from ticket created to ticket marked resolved (excluding pending-customer time). Why it matters: Measures support efficiency and issue complexity. Target: Less than 24 hours for P1, 3 days for P2, 5 days for P3.

3. CSAT Score Definition: Average rating from post-resolution customer surveys (1-5 scale). Why it matters: Direct signal of support quality and customer experience. Target: 4.2/5.0 or higher. Below 4.0 triggers root cause review.

4. Ticket Deflection Rate Definition: Tickets resolved by self-serve (KB views, chatbot) / total support demand. Why it matters: Primary efficiency metric. Higher deflection = lower cost per resolution. Target: 50%+ for mature operations. Under 30% = KB is not working.

5. Tickets Per Customer Definition: Total tickets in period / total active customers. Why it matters: Measures product friction. Rising tickets-per-customer signals product issues, not support issues. Target: Trending down quarter over quarter.

6. Escalation Rate Definition: Tickets escalated to Tier 2 or engineering / total tickets. Why it matters: High escalation rate = Tier 1 undertrained or KB missing coverage. Target: Under 15% escalation to Tier 2, under 5% escalation to engineering.

7. Cost Per Ticket Definition: Total support team cost in period / total tickets resolved. Why it matters: Core efficiency metric for support as a cost center. Target: Trending down as self-serve improves.

Step 2: Design Measurement Methodology

For each metric, define exactly how it is measured:

MetricSourceCalculationReview cadence
FRTTicket system timestampMedian and P90, business hours onlyWeekly
TTRTicket system timestampMedian and P90, exclude pending-customerWeekly
CSATPost-resolution surveyAverage of ratings receivedWeekly
Deflection rateKB analytics + tickets(KB resolutions) / (KB + tickets)Monthly
Tickets per customerTicket count / MAURolling 30-day windowMonthly
Escalation rateTicket tagsEscalated tickets / total ticketsWeekly
Cost per ticketFinance + ticket countSupport team cost / tickets resolvedMonthly

Define what "business hours" means for FRT/TTR calculation. State the time zone.

Step 3: Produce Dashboard Template

Dashboard structure with targets:

Support Health Dashboard -- [Week of Date]

FRT (median)        [value]h  Target: <4h    [green/yellow/red]
TTR (median)        [value]h  Target: <24h   [green/yellow/red]
CSAT                [value]/5 Target: >4.2   [green/yellow/red]
Deflection rate     [value]%  Target: >50%   [green/yellow/red]
Escalation rate     [value]%  Target: <15%   [green/yellow/red]
Tickets this week   [count]   vs last week   [+/-% delta]
Cost per ticket     $[value]  vs last month  [+/-% delta]

Top 3 ticket categories this week:
1. [Category] -- [count] tickets
2. [Category] -- [count] tickets
3. [Category] -- [count] tickets

SLA breach count: [n]
CSAT below 3.0: [n] (review required)

Step 4: Identify Top 3 Metric Improvements

Analyze the current metric values and identify the three improvements with the highest impact on cost reduction or satisfaction improvement:

  1. If deflection rate is low (under 30%): KB is the bottleneck. Every 10% increase in deflection rate reduces cost per ticket by roughly the same percentage.
  2. If CSAT is below 4.0: Root cause analysis required. Is it FRT, resolution quality, or communication? Each root cause has a different fix.
  3. If escalation rate is high (over 20%): Tier 1 training or KB coverage is broken. Audit the top 5 escalated issue types -- are they all KB-resolvable?

Delivery

Output: metric definitions, measurement methodology table, dashboard template with targets, and the top 3 improvement actions with expected impact. No vanity metrics -- only metrics with a named owner and a review cadence.

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

apex

Free

Engineering lead — hand Apex any task and it routes internally. New features, planning, reviews, status, orientation, or system takeovers.

The English summary is being prepared. Showing the original description.

tonone-ai/tonone76Updated Oct 15, 2026

Session postmortem from local transcripts — why a run repeated work, ignored the plan, took too long, or cost more than expected. Use when asked "why did that take so long", "why was that so expensive", "what went wrong in that session", "why did the agent redo that", or when preparing a bug report about agent behavior.

The English summary is being prepared. Showing the original description.

tonone-ai/tonone76Updated Oct 15, 2026

Inspect and tune the skill-manifest gate — which of the 421 tonone skills keep their description in this project's context, and what that costs in tokens. Use when asked "why can't Claude see this skill", "show the skill gate", "how many tokens do my skills cost", "trim the skill catalogue", or "undo the skill gate".

The English summary is being prepared. Showing the original description.

tonone-ai/tonone76Updated Oct 15, 2026

Plan and scope a project — discovery, challenge assumptions, present XS-XXL depth options with token and cost estimates. Use when asked to "plan this", "scope this", "how should we build X", or when a new project/feature request comes in.

The English summary is being prepared. Showing the original description.

tonone-ai/tonone76Updated Oct 15, 2026

Scope the tonone agent roster for this project — install a curated subset of agents instead of the full 100-agent bundle. Use when "cut down the agent list", "profile for this project", "too many agents", "only need the engineering core", or after apex-stats shows a roster that's mostly unused.

The English summary is being prepared. Showing the original description.

tonone-ai/tonone76Updated Oct 15, 2026

Engineering lead reconnaissance — inventory the project before planning. Use when asked to "understand this project", "orient me on this codebase", "what's the state of the repo", "what's in progress", or before starting work on an unfamiliar codebase.

The English summary is being prepared. Showing the original description.

tonone-ai/tonone76Updated Oct 15, 2026

See all skills by tonone-ai

Report a problem with this skill