Example Study
Health search behavior in a research study
20 participants were asked to research intermittent fasting using their normal browsing habits. LaBrowser captured every search query, click, page visit, and ChatGPT prompt as structured event data. Here's what the data reveals.
Study Overview
20
Participants
3,324
Total events
116
Search queries
16.4 min
Avg session
7 of 20
ChatGPT users
15 of 20
Multi-tab users
Search Behavior
Participants averaged 7.1 queries each, ranging from focused 3-query sessions to exhaustive 8-query deep dives. The most common queries targeted direct health benefits and specific fasting schedules.
Activity timeline
Each row is a participant. Dots show events over time — hover for details.
Most common queries
Health benefit and schedule queries dominated.
Clicks per search query
Most queries led to 2-3 result clicks before the next search.
Queries per participant
Most participants issued 4-6 queries. A few stopped at 3; one reached 8.
Source Analysis
Healthline was the most-clicked domain, but PubMed articles had the longest dwell times — participants spent 84 seconds on average reading research abstracts, compared to 52 seconds on popular health sites.
Clicks by domain
Popular health sites got the most traffic.
Avg dwell time by domain (seconds)
Academic sources were read more carefully.
Tab usage
Most participants stayed in a single tab. Those who used multiple tabs tended to have longer sessions and more diverse source consumption.
AI Usage
7 of 20 participants (35%) used ChatGPT alongside Google Search. They issued fewer search queries and visited fewer sources, suggesting AI served as a partial substitute for traditional web searching.
ChatGPT users vs. non-users
AI users had shorter, more focused sessions with fewer queries.
ChatGPT prompts
All 10 prompts captured across 6 participants. Prompts ranged from broad summaries to specific safety questions.
| Participant | Prompt |
|---|---|
| P09 | What does the latest research say about intermittent fasting and longevity? |
| P17 | How long does it take for autophagy to start during fasting? |
| P05 | What should I eat to break a fast for maximum benefit? |
| P05 | Is there evidence that fasting improves gut microbiome? |
| P05 | Is 16:8 fasting safe for someone with diabetes? |
| P04 | How long does it take for autophagy to start during fasting? |
| P04 | Summarize the key findings on intermittent fasting from PubMed |
| P16 | Is 16:8 fasting safe for someone with diabetes? |
| P16 | Is there evidence that fasting improves gut microbiome? |
| P19 | Explain autophagy in simple terms |
| P19 | How does fasting affect muscle mass? |
| P14 | How does fasting affect muscle mass? |
| P14 | Can intermittent fasting help with inflammation? |
Participant Strategies
Three distinct research strategies emerged: deep divers who read few sources thoroughly, wide scanners who skimmed many sources quickly, and AI-assisted researchers who used ChatGPT to guide their search.
Research strategies
Queries issued vs. average dwell time per source (seconds).
Session durations
Most sessions lasted 12-13 minutes. Deep divers tended toward longer sessions.
Download & Reproduce
All charts above were generated from the same export files you'd download from the LaBrowser Study Console. The sample dataset and full analysis code are available on GitHub.
Sample data files (events.json, google_search_v1.json, chatgpt_session_v1.json) plus a Jupyter notebook and Python script reproducing every chart on this page.
Or clone locally
git clone https://github.com/technologylab-ai/labrowser-example-health-search cd labrowser-example-health-search pip install -r requirements.txt jupyter lab analysis.ipynb