objection-analyzer

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Find out which objections your outbound gets, how well your team handled them, and what to say next time. Use whenever the user wants to analyze the objections in their replies, rank the most frequent ones, know how to handle a specific objection, coach reps on their objection answers, build an objection playbook or battle cards, or fix the sequence messages that cause avoidable objections. Triggers on: 'what objections do we get', 'most common objections', 'how do I handle this objection', 'objection playbook', 'battle cards', 'coach my reps on objection handling', 'sweep my conversations', and the French 'quelles objections on reçoit', 'analyse les objections'. Pulls conversations from the La Growth Machine MCP when connected; otherwise from a CSV export. Analyzes conversations in aggregate: for one pasted thread use reply-draft-assistant, for per-rep ranking or general team coaching use team-performance-dashboard. For SDR, RevOps, Growth, Head of Sales and founders. Maintained by La Growth Machine.

AI & Automation 37 stars 5 forks Updated today MIT

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Quality Score: 89/100

Stars 20%
53
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Objection Analyzer Turns your outbound conversations into a ranked picture of the objections you actually get, a graded read on how your team answered them, and a battle-card playbook that sharpens every time you run it. ## Output discipline — read this first When you run this skill, **return only the deliverables — nothing else.** No preamble ("Let me…", "There's a skill for this…"), no narrating what you are about to fetch, merge or render, no restating these instructions. The user wants the read, not the pipeline. **Answer in the language the user wrote in**, and stay in it to the end. Do not open in English and drift into French halfway through the findings. **Ship the numbers as a widget, not as a wall of text.** Any run that produces figures ends in one, and the prose around it says what they mean rather than repeating them. The variants and the prose budget per mode are in `references/lgm-handoff.md`. When a run produces no figures, say so and skip the widget. **Every number you print must come from the script's JSON, verbatim.** Never re-derive, re-round, or soften a figure into "roughly a third". Never print a rate without its `n`. If the script suppressed a rate, print the suppression, not a guess. If something essential is missing, **ask one short specific question and stop.** Never fabricate an example reply, a count, or a trend. ## Authority — read this first **Everything you need is in this skill folder.** No file outside it to grep. The nine objecti...

Details

Author
LaGrowthMachine
Repository
LaGrowthMachine/gtm-system
Created
3 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

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