Overview of Session Duration Metrics Module

Purpose

The Session Duration Metrics module is designed to track the amount of time users spend on specific pages or during learning sessions within your application. This module captures detailed session data, enabling insights into user engagement and behavior.

Benefits

• User Engagement Analysis: Understand how long users are interacting with your content, helping identify popular and effective sections.
• Content Effectiveness: Evaluate the impact of different content types on user retention and interest.
• Data-Driven Decisions: Use session data to optimize user flows, improve content delivery, and enhance overall user experience.

Usage Scenarios

1. E-Learning Platforms: Track study sessions to assess learner engagement and effectiveness of course material.
2. Dashboard Integration: Allow content creators to view session metrics, aiding in adjustments to content based on user behavior.
3. Marketing Tools: Analyze user interest in campaigns by measuring time spent on promotional materials.
4. Customer Support: Identify trends in session lengths to tailor support strategies and improve assistance.

Features

• Customizable Metrics: Tailor tracking parameters to specific needs, ensuring relevant data collection.
• Real-Time Data: Access up-to-date metrics for immediate insights and quick decision-making.
• Seamless Integration: Easy setup with minimal impact on application performance, ensuring smooth operation.

By providing comprehensive, actionable data, the Session Duration Metrics module empowers developers to enhance user experiences and optimize their applications effectively.

Real-Time Session Tracking

Monitors user activity in real-time, capturing session start and end times to provide immediate insights into engagement. This allows for proactive analysis and immediate feedback mechanisms.

Custom Time Thresholds

Enables developers to set specific time thresholds (e.g., 30 seconds, 5 minutes) to categorize user interactions. This flexibility helps in distinguishing between casual visitors and engaged users, tailoring alerts based on unique needs.

Duration-Based Alerts

Triggers notifications when sessions exceed or fall below defined thresholds, enabling proactive measures such as sending reminders or identifying potential issues like disengagement.

Session Break Analysis

Analyzes intervals between user activities to reveal engagement patterns. Insights into break frequency and duration can indicate fatigue or temporary disinterest, aiding in user experience improvements.

Historical Data Reporting

Provides access to archived session data, facilitating trend analysis over time. This historical perspective is crucial for identifying long-term behavioral changes and informing strategic product decisions.

Integration with External Systems

Seamlessly connects with third-party tools and platforms (e.g., CRM systems, analytics platforms), enhancing scalability and compatibility for broader data utilization across applications.

Here’s a comprehensive documentation for the Session Duration Metrics module:

FastAPI Endpoint

This endpoint calculates the average session duration per user within a specified date range.

from fastapi import APIRouter, Depends, HTTPException
from datetime import datetime, date
from typing import Optional
from pydantic import BaseModel

router = APIRouter()

class SessionDurationParams(BaseModel):
    start_date: str
    end_date: str

@router.post("/api/session-duration")
async def get_session_duration(params: SessionDurationParams):
    try:
        # Convert date strings to datetime objects
        start_date = datetime.strptime(params.start_date, "%Y-%m-%d").date()
        end_date = datetime.strptime(params.end_date, "%Y-%m-%d").date()

        if start_date > end_date:
            raise HTTPException(status_code=400, detail="Start date cannot be after end date")

        # Query the database for session durations
        results = await db.get_session_durations(start_date, end_date)

        return {"results": results}
    except ValueError as e:
        raise HTTPException(status_code=400, detail=str(e))

React UI Component

A simple React component that allows users to select a date range and displays session duration metrics.

import React, { useState } from 'react';

const SessionDuration = () => {
    const [startDate, setStartDate] = useState('');
    const [endDate, setEndDate] = useState('');
    const [results, setResults] = useState([]);

    const handleSearch = async () => {
        try {
            const response = await fetch('/api/session-duration', {
                method: 'POST',
                headers: {
                    'Content-Type': 'application/json',
                },
                body: JSON.stringify({
                    start_date: startDate,
                    end_date: endDate
                })
            });

            const data = await response.json();
            setResults(data.results);
        } catch (error) {
            console.error('Error:', error);
        }
    };

    return (
        <div>
            <h1>Session Duration Metrics</h1>
            <div style={{ marginBottom: '20px' }}>
                <label htmlFor="start-date">Start Date:</label>
                <input
                    type="date"
                    id="start-date"
                    value={startDate}
                    onChange={(e) => setStartDate(e.target.value)}
                />
                <br />
                <label htmlFor="end-date">End Date:</label>
                <input
                    type="date"
                    id="end-date"
                    value={endDate}
                    onChange={(e) => setEndDate(e.target.value)}
                />
                <button onClick={handleSearch}>Get Metrics</button>
            </div>
            {results.length > 0 && (
                <table>
                    <thead>
                        <tr>
                            <th>User ID</th>
                            <th>Average Session Duration (seconds)</th>
                        </tr>
                    </thead>
                    <tbody>
                        {results.map((result, index) => (
                            <tr key={index}>
                                <td>{result.user_id}</td>
                                <td>{result.average_duration}</td>
                            </tr>
                        ))}
                    </tbody>
                </table>
            )}
        </div>
    );
};

export default SessionDuration;

Pydantic Data Schema

Schema for session duration metrics.

from pydantic import BaseModel
from typing import List, Optional

class DurationResult(BaseModel):
    user_id: str
    average_duration: float

class SessionDurationResponse(BaseModel):
    results: List[DurationResult]

Explanation

1. FastAPI Endpoint

   • Accepts POST requests with a date range.
   • Validates input using Pydantic models.
   • Returns average session durations for users within the specified dates.

2. React UI Component

   • Provides a simple interface to select dates and view results.
   • Uses state management for form inputs and results display.
   • Fetches data from the FastAPI endpoint to populate the table.

3. Pydantic Schemas

   • SessionDurationParams: Validates the request body containing date range.
   • DurationResult: Represents individual user metrics in the response.
   • SessionDurationResponse: Structure of the complete API response.

This implementation provides a robust and scalable way to track and visualize session durations for users.

Session Duration Metrics Module Documentation

Overview

The Session Duration Metrics module is designed to track how long users spend on specific pages or during learning sessions. This module is particularly useful for developers looking to analyze user engagement and behavior.

Related Modules

• User Activity Tracking: Monitors user interactions across the application.
• Session Management: Manages user sessions and tracks session-related data.
• Engagement Analytics: Provides insights into user engagement metrics.
• Usage Statistics: Tracks overall usage patterns and trends.

Use Cases

1. Track Page Dwell Time

• Description: Monitor how long users spend on specific pages to identify high-engagement or confusing sections.
• Example: Determine if users quickly leave a particular page, indicating potential issues.

2. Monitor Learning Session Duration

• Description: Measure the time spent in learning sessions to assess content effectiveness.
• Example: Identify if shorter sessions yield better retention rates.

3. Detect Inactive Users

• Description: Track user inactivity to implement re-engagement strategies.
• Example: Send reminders to users who haven’t interacted for a set period.

Integration Tips

1. Consistent Session IDs:

   • Ensure session IDs are consistent across all interactions to accurately track duration.

2. Timestamp Accuracy:

   • Use precise timestamps for session start and end events to avoid measurement errors.

3. Session Event Handling:

   • Properly handle session start (session_start) and end (session_end) events to capture accurate durations without overlaps or gaps.

Configuration Options

Conclusion

The Session Duration Metrics module offers valuable insights into user engagement by tracking session durations on specific pages and during learning sessions. By integrating this module, developers can enhance their understanding of user behavior and optimize their application’s content and flow accordingly.