Analyze A/B test results for statistical significance with ship, extend, or kill recommendations
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Builds Quarterly Business Review decks for active clients. Pulls metrics, generates structured QBR with wins, challenges, roadmap, and recommendations. Uses crm-writer to read client data.
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安装前可以查看交给 AI 代理的指令内容。
Generates a complete Quarterly Business Review for an active client account. Pulls performance metrics, organizes wins and challenges, builds a forward-looking roadmap, and produces actionable recommendations tied to agency services.
agency.config.json populated (services, case studies, CRM config)crm-writer -- read client history from CRM tabscompany-researcher -- refresh company intel for contextmessage-generator -- generate executive summary narrativeRead agency.config.json:
services[] -- available agency services for recommendation mappingcase_studies[] -- reference for benchmarking resultscrm.tabs -- locate client dataAccept parameters:
client_name -- (required) the client account namequarter -- (required) e.g. "Q1 2026" or "Jan-Mar 2026"metrics_source -- crm | shopify_api | manual. Default: crminclude_financials -- boolean, whether to include revenue/billing data. Default: falseformat -- full_deck | executive_summary | one_pager. Default: full_deckQuery CRM for the client record:
services[] are active)include_financials = true)Pull records for the review quarter:
Based on metrics_source:
CRM path: Read metrics columns from client tab Shopify API path: Pull store analytics for the quarter Manual path: Prompt user to input key metrics
Target metrics:
Scan collected data for positive outcomes:
Rank wins by impact (revenue impact > conversion impact > operational impact).
Scan for areas of concern:
For each challenge, note:
Compare client metrics against:
case_studies[] where applicableBuild a forward-looking plan for the next quarter:
Cross-reference challenges and metrics gaps against services[]:
Each recommendation includes:
include_financials = trueRank recommendations:
Build the QBR structure:
QUARTERLY BUSINESS REVIEW
[Client Name] -- [Quarter]
Prepared by: [agency.name] ([agency.domain])
1. EXECUTIVE SUMMARY
- Quarter at a glance (3-4 sentences)
- Key metric: [headline number]
- Overall account health: [GREEN/YELLOW/RED]
2. WINS
- Win 1: [title] -- [metric impact]
- Win 2: [title] -- [metric impact]
- Win 3: [title] -- [metric impact]
3. KEY METRICS
- Traffic: [value] ([+/-]% vs last quarter)
- Conversion Rate: [value] ([+/-]% vs last quarter)
- AOV: [value] ([+/-]% vs last quarter)
- Revenue: [value] ([+/-]% vs last quarter)
- [Additional metrics as relevant]
4. DELIVERABLES COMPLETED
- [List of completed work with dates]
5. CHALLENGES & LEARNINGS
- Challenge 1: [description] -- [status] -- [learning]
- Challenge 2: [description] -- [status] -- [learning]
6. NEXT QUARTER ROADMAP
- P0: [critical items]
- P1: [important items]
- P2: [backlog items]
7. RECOMMENDATIONS
- Recommendation 1: [what + why + expected impact]
- Recommendation 2: [what + why + expected impact]
8. DISCUSSION TOPICS
- [Open questions for the client]
APPROVAL GATE: "Here's the QBR structure. Review and adjust before I finalize?"
Return structured JSON:
{
"client_name": "Kibi Sports",
"quarter": "Q1 2026",
"prepared_by": "Plasho",
"account_health": "GREEN",
"executive_summary": "Strong quarter with 18% conversion rate improvement after product page redesign. Traffic grew 12% from organic. Two major deliverables completed on time.",
"wins": [
{
"title": "Product Page Redesign",
"metric_impact": "+18% conversion rate on redesigned pages",
"category": "CRO"
},
{
"title": "Site Speed Optimization",
"metric_impact": "Load time reduced from 4.2s to 2.1s",
"category": "Performance"
}
],
"metrics": {
"traffic": {"value": "45,200 sessions", "change": "+12%", "trend": "up"},
"conversion_rate": {"value": "2.8%", "change": "+18%", "trend": "up"},
"aov": {"value": "INR 2,450", "change": "+5%", "trend": "up"},
"revenue": {"value": "INR 31,00,000", "change": "+22%", "trend": "up"},
"bounce_rate": {"value": "42%", "change": "-8%", "trend": "improved"},
"page_speed": {"value": "2.1s", "change": "-50%", "trend": "improved"}
},
"deliverables_completed": [
{"item": "Product page redesign (12 SKUs)", "date": "2026-01-20"},
{"item": "Navigation restructure", "date": "2026-02-10"},
{"item": "Mobile checkout optimization", "date": "2026-03-01"}
],
"challenges": [
{
"description": "Cart abandonment rate increased to 72%",
"root_cause": "New payment gateway integration caused friction",
"status": "resolved",
"learning": "Test payment flows in staging before production rollout"
}
],
"roadmap": {
"p0": ["Launch loyalty program integration", "Holiday season prep"],
"p1": ["Catalog photography refresh for new SKUs"],
"p2": ["Blog content strategy", "Email automation setup"]
},
"recommendations": [
{
"what": "Implement Klaviyo email automation",
"why": "No post-purchase or abandoned cart email flows currently active",
"expected_impact": "10-15% revenue recovery from abandoned carts",
"timeline": "4 weeks",
"service": "Performance Marketing",
"priority": "P0"
}
],
"discussion_topics": [
"Q2 budget allocation for performance marketing",
"New product line launch timeline and catalog needs"
],
"format": "full_deck",
"generated_at": "2026-03-07T10:00:00Z"
}
Trigger phrases:
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Analyze A/B test results for statistical significance with ship, extend, or kill recommendations
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中文简介正在准备中。当前显示原文说明。