Analyze Customer Survey Feedback
Daily workflow that groups survey responses by sentiment, uses AI to extract themes and recommendations.
This directory currently includes 22 recipes for the analyze & report pattern, across 11 roles. Analyze and report agents turn operational data into a readable view of what happened and what needs attention. They gather inputs, calculate or interpret metrics, identify notable changes, and prepare a report for a specific audience. This pattern is useful when teams spend too much time assembling routine updates and too little time discussing the result. The examples show reporting across roles, but reliable analysis always starts with defined metrics, trusted sources, and a clear reporting cadence. An agent can make a draft more timely and easier to scan, yet it cannot fix vague definitions or unreliable data. Start with a report that already repeats and has a known reader. Specify the required metrics, comparisons, and source links before automating the narrative. Every example makes its inputs, output, and handoff concrete, so you can compare real workflow boundaries before adapting the pattern to your own tools and process.
Daily workflow that groups survey responses by sentiment, uses AI to extract themes and recommendations.
Analyzes engagement data to calculate ROI and LTV trends, then generates an interactive Excel dashboard with recommendations and a...
Every six hours, the system fetches gold prices, news, and macro data to generate an AI-powered forecast report with confidence metrics.
Daily digest of Furusato Nozei news, AI-extracted keywords, Google Trends validation, and strategic insights sent to Slack.
Scrapes Reddit for Apple WWDC25 discussions, classifies topics, analyzes comment sentiment with Gemini, and logs results to a Google Sheet.
Imports survey responses to vector storage, clusters them by similarity, and summarizes key insights back into your spreadsheet.
Runs support ticket test cases through the classifier to measure exact match accuracy against known labels.
Ingests gameplay logs to segment players by behavior, predict churn risk, and simulate pricing adjustments for retention.
Upload a systems description file to generate ISO 26262 hazard analysis reports with S/E/C scores and ASIL validation in minutes.
Aggregates Asana tasks and Slack history to identify sprint impediments and intervention needs via an AI analysis.
Upload a PDF contract to get a plain English translation, a 0-100 risk score, and an HTML email report of hidden traps.
Automatically fetches Azure resource and cost data via n8n to generate daily reports on total spending and top expensive resources.
Every six hours, the system fetches gold prices, news, and macro data to generate an AI-powered forecast report with confidence metrics.
Compares digital vs physical gold landed costs using live rates, taxes, and making charges to generate a buy verdict.
Collects feedback from WhatsApp, email, and social media, analyzes sentiment with AI, and logs structured insights to Google Sheets.
Analyzes unstructured customer feedback in Google Sheets with AI, generates visual charts, and emails a comprehensive HTML report.
Periodically scans specified Facebook groups for brand mentions using Bright Data and classifies sentiment via LLM.
Paste a URL and get a deep technical SEO audit with 10 specific recommendations emailed to you.
Upload a PDF contract to get a plain English translation, a 0-100 risk score, and an HTML email report of hidden traps.
Scrapes top-ranking competitor URLs for your keywords, compares them against your brand identity using Gemini.
Analyzes engagement data to calculate ROI and LTV trends, then generates an interactive Excel dashboard with recommendations and a...
The agent compares high-performing emails against underperformers using an LLM to identify specific content optimization opportunities.
Pulls marketing campaign data from Google Sheets, analyzes performance with GPT-4o, and emails a structured ROI recap.
Periodically scans specified Facebook groups for brand mentions using Bright Data and classifies sentiment via LLM.
Daily digest of Furusato Nozei news, AI-extracted keywords, Google Trends validation, and strategic insights sent to Slack.
Scrapes Reddit for Apple WWDC25 discussions, classifies topics, analyzes comment sentiment with Gemini, and logs results to a Google Sheet.
Paste a URL and get a deep technical SEO audit with 10 specific recommendations emailed to you.
Daily workflow that groups survey responses by sentiment, uses AI to extract themes and recommendations.
Automatically fetches Azure resource and cost data via n8n to generate daily reports on total spending and top expensive resources.
Collects feedback from WhatsApp, email, and social media, analyzes sentiment with AI, and logs structured insights to Google Sheets.
Analyzes unstructured customer feedback in Google Sheets with AI, generates visual charts, and emails a comprehensive HTML report.
Runs support ticket test cases through the classifier to measure exact match accuracy against known labels.
Upload a vendor proposal PDF via form; the agent extracts text, summarizes key points, flags risks, logs results to Sheets.
Daily or on-demand, it fuses client briefs, budgets, and vendor data to generate optimized event plans with ROI, risk scores.
Compares digital vs physical gold landed costs using live rates, taxes, and making charges to generate a buy verdict.
Upload a PDF contract to get a plain English translation, a 0-100 risk score, and an HTML email report of hidden traps.
Collects feedback from WhatsApp, email, and social media, analyzes sentiment with AI, and logs structured insights to Google Sheets.
It turns defined data sources into metrics, a narrative summary, and a report tailored to a recurring audience.
Yes, when the data, metric definitions, format, and review process are clearly specified.
Include source context, defined metrics, relevant comparisons, notable changes, and clear owners for follow-up.