mcpbeat

Qbr Plan

indranilbanerjee/qbr-plan

Prepare a Quarterly Business Review. Use when: building QBR presentations, client performance reviews, or strategy updates.

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
694
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill qbr-plan

The instruction itself

6 sections, as written by the author

/digital-marketing-pro:qbr-plan

Purpose

Prepare a comprehensive Quarterly Business Review presentation with performance retrospective, strategic insights, and forward-looking roadmap. Translates raw campaign data into a compelling narrative that demonstrates value, addresses challenges transparently, and builds confidence in the next quarter's strategy.

Input Required

The user must provide (or will be prompted for):

  • Quarter being reviewed: Specific quarter and year (e.g., Q4 2025) and the exact date range covered
  • Active campaigns and channels: All campaigns that ran during the quarter with channels, objectives, and status (active, paused, completed)
  • Goals vs actual results: Original quarterly targets and actual performance for each KPI — traffic, leads, conversions, revenue, ROAS, etc.
  • Budget vs actual spend: Planned budget allocation by channel and actual spend with variance explanations
  • Key wins and challenges: Notable successes worth highlighting and obstacles encountered with impact assessment
  • Next quarter objectives: Business goals and marketing priorities already identified for the upcoming quarter
  • Client satisfaction signals: NPS scores, feedback received, support tickets, or qualitative sentiment from the client team
  • Upsell/cross-sell opportunities: Additional services, expanded scope, or new channels the client could benefit from
  • Competitive shifts: Notable competitor moves, market changes, or industry trends observed during the quarter
  • Team changes: Any staffing changes on agency or client side that affected the engagement

Process

  • Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  • Aggregate campaign performance data: Organize all campaign metrics by channel and objective — impressions, clicks, conversions, spend, revenue, and derived metrics (CTR, CPC, CPA, ROAS, conversion rate)
  • Compare results against goals and benchmarks: Map actual performance to quarterly targets, prior quarter results, and industry benchmarks to show progress, regression, or breakthrough performance
  • Identify top wins with attribution: Select the 3 most impactful wins from the quarter and build attribution stories — what was done, why it worked, and how it connects to business outcomes
  • Analyze underperformance with root causes: For any KPI that missed target, conduct root cause analysis — external factors (market, seasonality, competition), internal factors (budget, creative, timing), and corrective actions taken or recommended
  • Calculate ROI and budget efficiency: Compute overall and per-channel ROI, cost-per-acquisition trends, budget utilization rate, and efficiency gains or losses compared to prior quarters
  • Assess competitive landscape changes: Summarize notable competitor activity — new campaigns, market entries, pricing changes, or positioning shifts that affected or could affect performance
  • Develop strategic recommendations for next quarter: Formulate 3-5 specific, actionable recommendations tied to data insights — what to scale, what to cut, what to test, and what to monitor
  • Identify upsell opportunities: Map gaps in current coverage or emerging opportunities to additional services with business case justification (projected impact and investment required)

10. Build executive slide structure: Design the presentation flow — executive summary first, then performance deep-dive, strategic insights, and forward plan — optimized for a 45-60 minute meeting

11. Create appendix with detailed data: Compile granular data tables, campaign-level breakdowns, and supporting metrics that back up the main narrative without cluttering the core slides

12. Add next-steps action items with owners: Define specific action items emerging from the QBR with responsible party (agency or client), deadline, and success criteria for each

Output

A structured QBR presentation package containing:

  • Executive summary slide: One-page overview with quarter highlights, overall score against goals, and key takeaway for leadership
  • Performance scorecard: Goals vs actuals vs benchmarks in a scannable table format with color-coded status indicators (on track, at risk, missed)
  • Campaign-by-campaign analysis: Individual campaign performance summaries with metrics, insights, and optimization actions taken
  • Budget efficiency analysis: Spend vs return by channel with utilization rate, cost trend lines, and efficiency comparison to prior quarters
  • Top 3 wins with attribution story: Detailed breakdown of biggest successes — what drove them, measured impact, and how to replicate
  • Underperformance analysis with corrective actions: Honest assessment of misses with root cause, impact quantification, and specific corrective steps (taken and planned)
  • Competitive intelligence update: Summary of notable competitor moves and market shifts with implications for strategy
  • Strategic recommendations (3-5): Data-backed recommendations for next quarter with expected impact, investment needed, and implementation timeline
  • Upsell/cross-sell opportunities with business case: Additional service or scope recommendations with projected ROI and investment requirements
  • Next quarter roadmap with milestones: Phase-based plan for the upcoming quarter with key deliverables, launch dates, and checkpoint reviews
  • Appendix with raw data tables: Granular performance data, full campaign metrics, and supporting calculations for reference
  • Action items with owners and deadlines: Specific next steps from the QBR with assigned owner (agency/client), due date, and success criteria
  • Account health score (1-10): Composite score based on performance, relationship health, growth trajectory, and risk factors with scoring rationale

Agents Used

  • analytics-analyst — Performance data aggregation, goal vs actual analysis, ROI calculations, benchmarking, budget efficiency analysis, scorecard design, and appendix data compilation
  • marketing-strategist — Strategic recommendations, competitive assessment, upsell opportunity identification, executive narrative, roadmap development, and account health scoring

How to use it

Copy the folder

Take indranilbanerjee/qbr-plan from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.