diary-studies

Design diary study workflows to generate prompts and summarize emotional arcs.

13|4|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/henrique-simoes/Istara --skill diary-studies
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: diary-studies
Source: https://github.com/henrique-simoes/Istara/tree/main/skills/discover/diary-studies
Command: npx skills add https://github.com/henrique-simoes/Istara --skill diary-studies

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design diary study prompts, analyze entries over time, identify behavioral patterns and emotional arcs.

Core Features & Use Cases

  • Plan and generate prompts for longitudinal diary studies.
  • Analyze diary entries to identify behavioral patterns, emotional trajectories, and insights with confidence scoring.
  • Use across UX research, product feedback, and longitudinal user understanding, with time-based reporting.

Quick Start

Prompt participants to record daily experiences and upload entries for automated analysis.

Frequently Asked Questions about diary-studies

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

FAQPage Schema
How do I design diary study prompts to track user behavior over time?

Analyze diary study entries to identify behavioral patterns and emotional arcs by processing longitudinal qualitative data. The workflow extracts structured facts, insights, and recommendations from text inputs, applying validation scoring to ensure analytical confidence.

What is the best way to analyze qualitative longitudinal research entries?

Diary study analysis supports both text and media inputs to capture comprehensive user experiences. The workflow processes these varied input types to identify behavioral patterns and generate structured qualitative insights for longitudinal user understanding.

Can I use diary studies for UX research and emotional trajectory tracking?

Diary studies are applicable for UX research, product feedback, and longitudinal user understanding. They enable you to track emotional trajectories and behavioral patterns by prompting participants to record daily experiences over a defined period.

Do I need specific input formats to generate longitudinal diary study insights?

Diary study workflows accept both text and media inputs to capture participant experiences. The system processes these inputs to generate structured outputs including nuggets, facts, insights, and recommendations, while applying validation scoring to ensure data quality.