Analytics

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Overview

Reflect AI’s Insights dashboard transforms your journal entries into visual data, helping you spot patterns, understand your emotional landscape, and track your writing habits over time.

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Accessing Analytics

Navigate to the Insights view:

1. Click the Insights button in the sidebar
2. Or click the Insights tab in the main header
3. Use the month/year navigation arrows to view different time periods

The dashboard updates in real-time as you add new entries.

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Dashboard Overview

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Time Period Selection

Analytics can be viewed for:

• Specific months: Select any month/year to see that period’s data
• All time: View cumulative patterns across your entire journal

The current selection is displayed prominently at the top of the dashboard.

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Available Charts

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1. Mood Trend Chart

Type: Line graph What it shows: Your emotional trajectory over time Data points:

• X-axis: Dates (days of the month or recent 31 days)
• Y-axis: Sentiment score (-1 to +1)
• Each point represents one journal entry’s mood

Visual features:

• Line: Smooth curve connecting your mood scores
• Point colors:
  • 🟢 Green: Positive mood (score > 0.2)
  • ⚪ Gray: Neutral mood (-0.2 to 0.2)
  • 🔴 Red: Challenging mood (< -0.2)
• Gaps: Days without entries show as breaks in the line
• Filled area: Light blue shading under the curve

What to look for:

• Upward trends (improving mood over time)
• Downward trends (increasing challenges)
• Volatility (rapid ups and downs vs. stable mood)
• Patterns around specific dates or events

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2. Mood Distribution Chart

Type: Doughnut chart What it shows: Percentage breakdown of your emotional states Categories:

• 😄 Joyful (very positive)
• 🙂 Content (positive)
• 😐 Balanced (neutral)
• 😔 Reflective (negative)
• 😢 Processing (very negative)

Visual features:

• Color-coded segments (green to red spectrum)
• Percentage labels
• Legend showing counts

What to look for:

• Your baseline emotional state (largest segment)
• Balance across categories
• Skew toward positive or challenging moods
• Changes month-to-month

Interpretation examples:

• Mostly green/teal: Generally positive outlook
• Balanced across categories: Emotional range is healthy
• Heavy red: May be a difficult period needing support

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3. Day of Week Distribution

Type: Bar chart What it shows: Which days you journal most frequently Data points:

• X-axis: Days of the week (Sun - Sat)
• Y-axis: Number of entries
• Each bar represents total entries for that day

What to look for:

• Your most consistent journaling days
• Gaps (days you rarely write)
• Weekday vs. weekend patterns
• Whether your routine aligns with your goals

Common patterns:

• High weekends, low weekdays: Busy work schedule
• High mornings (Mon, Tue): Week-start motivation
• Friday peaks: Week-end reflection
• Even distribution: Strong daily habit

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4. Top Themes Chart

Type: Horizontal bar chart What it shows: Your most frequently mentioned topics Data points:

• Y-axis: Theme categories (Work, Health, Friends, etc.)
• X-axis: Number of entries mentioning each theme
• Up to 8 top themes displayed

Visual features:

• Color-coded bars (each theme has a distinct color)
• Sorted by frequency (most common at top)

What to look for:

• What occupies your mental space
• Balance across life areas
• Themes that dominate vs. those you neglect
• Changes over time

Interpretation examples:

• Heavy “Work” mentions: Career is primary focus
• Frequent “Emotions”: Processing feelings actively
• Balanced themes: Well-rounded attention to life areas
• Missing themes: Areas you might be neglecting

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5. Entries Per Week Chart

Type: Bar chart What it shows: Weekly journaling consistency Data points:

• X-axis: Week labels (“Week 1”, “Week 2” for months, or dates for all-time)
• Y-axis: Number of entries (0-7)
• Maximum of 7 entries per week

Visual features:

• Green bars indicate entry counts
• Y-axis capped at 7 (max entries per week)

What to look for:

• Consistency across weeks
• Weeks you fell off the habit
• Improvement over time
• Correlation with life events

Target: Aim for 5-7 entries per week for strong consistency.

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6. Average Words Per Entry Chart

Type: Line chart What it shows: How much you write each week Data points:

• X-axis: Week labels
• Y-axis: Average word count
• Each point is the mean word count for entries that week

Visual features:

• Purple line with shaded area
• Smooth curve showing writing volume trends

What to look for:

• Whether you’re writing more or less over time
• Weeks with particularly long or short entries
• Correlation between word count and mood
• Energy levels and depth of reflection

Interpretation:

• Increasing word count: Deeper engagement with journaling
• Decreasing word count: Busier life, less time, or more concise style
• Consistent word count: Established rhythm

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Summary Insights

At the top of the Insights dashboard, you’ll see:

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AI-Generated Monthly Summary

What’s included:

• 2-3 paragraph narrative about the month
• Mood trajectory (improving/steady/shifting)
• Top 3 themes you explored
• Key patterns detected
• Personalized observations

Example:

“February was a month of growth for you. Your mood improved steadily after a challenging start, particularly once you began prioritizing morning walks. You wrote frequently about learning, work, and creativity—often with a positive tone. Your best days tended to be weekends when you had space for hobbies. One pattern stood out: days with exercise consistently had more energized entries.”

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Quick Stats

Displayed prominently:

• Total entries for the selected period
• Mood emoji representing average mood
• Top themes (up to 3)
• Mood trajectory indicator (↗️ ↘️ →)

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Pattern Insights

Based on your analytics, Reflect AI surfaces observations like: Mood trends:

• “Your mood has been improving recently”
• “Your mood has been steady this month”

Best days:

• “You tend to feel best on Saturdays”

Theme observations:

• “You’ve been reflecting on: Work, Learning, Creativity”

Activity correlations:

• “You seem most energized on days involving exercise”
• “Entries mentioning nature time tend to have positive energy”

These insights appear below the charts, helping you interpret the data.

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Navigating Between Time Periods

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Month Navigation

Use the arrow buttons in the header:

• ← Previous: Go back one month
• → Next: Move forward one month
• Today button: Jump to the current month

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Comparing Periods

To compare different months:

1. Navigate to the first month and mentally note patterns
2. Use arrows to move to the second month
3. Compare charts visually
4. Look for seasonal patterns, growth, or changes

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Using Analytics for Growth

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Self-Awareness

Analytics help you:

• Validate feelings: “I thought January was hard—the data confirms it”
• Spot patterns: “I didn’t realize I write so much about work”
• Track progress: “My mood is genuinely improving over time”
• Identify triggers: “My mood drops every Monday—maybe work stress?”

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Behavior Change

Use data to inform decisions:

• Activity insights: If exercise correlates with better mood, prioritize it
• Theme balance: If one area dominates, consider diversifying focus
• Writing habits: If you rarely write on certain days, adjust your routine
• Mood patterns: If weekends are your best days, protect that time

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Goal Setting

Charts provide concrete targets:

• “I want to increase my weekly entry average from 3 to 5”
• “I’ll aim for more balanced themes next month”
• “I want my mood trend line to slope upward”

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Exporting Your Data

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Export Functionality

Click Export in the sidebar to download:

• All journal entries (text, tags, photos)
• Sentiment scores for each entry
• Themes and metadata
• Entry dates and word counts

Format: JSON file named reflect-ai-YYYY-MM-DD.json

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What You Can Do With Exported Data

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Chart Customization

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Theme Support

Charts automatically adapt to your theme:

• Light mode: Light backgrounds, dark text
• Dark mode: Dark backgrounds, light text
• Theme toggle updates charts in real-time

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Responsive Design

Charts resize based on window size:

• Desktop: Multi-column grid layout
• Tablet: Two-column layout
• Mobile: Single-column stacked layout

All charts remain fully interactive regardless of device.

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Technical Details

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Chart Library

Reflect AI uses Chart.js v4:

• Open-source JavaScript charting library
• Lightweight and performant
• Fully responsive and accessible
• No external dependencies

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Data Processing

Analytics are calculated on-demand:

1. User navigates to Insights view
2. App requests data from /api/insights/charts?year=X&month=Y
3. Backend processes entries and calculates statistics
4. Frontend receives JSON data and renders charts
5. Charts are interactive immediately

Performance:

• Handles 1000+ entries without lag
• Chart rendering takes less than 500ms on modern devices

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Limitations

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Minimum Data Requirements

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Interpretation Caveats

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Best Practices

1. Review monthly: Set a recurring reminder to check your analytics
2. Compare periods: Look at the same month across different years
3. Combine with qualitative reflection: Data tells part of the story; your memory fills in context
4. Don’t over-optimize: Journaling is for insight, not just hitting metrics
5. Track experiments: If you change a habit, watch how charts respond
6. Export regularly: Back up your data monthly

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Privacy Note

All analytics are computed locally:

• No analytics data is sent to external servers
• Chart rendering happens in your browser
• Only you can see your charts
• Data never leaves your device (except AI summaries if using Groq)

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Frequently Asked Questions