daily-question-analyzer

Measure daily-question engagement via response rates, pair completion, and post-reveal activity.

6|1|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/pwv-vc/agentcribs-community --skill daily-question-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: daily-question-analyzer
Source: https://github.com/pwv-vc/agentcribs-community/tree/main/resources/tearsheets/arsenal/dot-claude/skills/daily-question-analyzer
Command: npx skills add https://github.com/pwv-vc/agentcribs-community --skill daily-question-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

daily-question-analyzer helps you quantify and understand engagement around daily questions, including response rates, pair completion, and post-reveal feedback, so teams can coach improvements and optimize prompts.

Core Features & Use Cases

  • Response-rate overview: compute individual and pair-level response rates over flexible intervals and provide counts, proportions, and status.
  • Status breakdown: list respondents, pending, and expired statuses with associated user IDs for auditability.
  • Completed pairs identification: identify day-pairs where both partners answered to enable post-reveal analysis.
  • Post-reveal engagement analysis: locate actual reveal messages, measure engagement within defined windows, and flag potential reveal-related interactions for review.
  • Privacy-aware defaults and governance: enforces aggregate-only exposure unless explicit user request.

Quick Start

Run the daily-question-analyzer on your dataset to surface daily engagement metrics for the current interval.

Frequently Asked Questions about daily-question-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I measure daily question engagement metrics like response rates and pair completion?

Measure daily question engagement by grouping data by conversation and day to compute individual response rates, pair completion statuses, and post-reveal activity over flexible intervals. This yields counts, proportions, and status breakdowns for coaching optimization.

Can I analyze post-reveal activity for completed daily question pairs?

Yes, you can analyze post-reveal activity by locating actual reveal messages and measuring engagement within defined time windows. The analysis flags potential reveal-related interactions to review once both partners in a pair have answered.

What is the best way to track daily question response rates over custom time intervals?

Track daily question response rates over custom intervals by applying grouping logic to compute per-day metrics across flexible ranges like 24 hours, 3 days, or 7 days. This provides respondent, pending, and expired status breakdowns with user IDs.

Does the daily question analyzer enforce privacy defaults for user engagement metrics?

Yes, the analyzer enforces privacy defaults by limiting exposure to aggregate data only unless explicitly requested otherwise. This governance ensures individual user engagement metrics remain protected during response rate and post-reveal analysis.

How do I identify which users have pending or expired daily question statuses?

Identify pending and expired users by generating a status breakdown that lists respondents alongside incomplete statuses. This auditability feature associates specific user IDs with their daily question response state over the selected interval.