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By Honeybadger
How would you rate your experience with Honeybadger?
Account-Level Analytics
Ability to see analytics at the account level.
User-Level Analytics
Ability to see analytics at the user level.
Segmentation
Ability to compare usage across segments such as role, company size, etc.
Funnels
See how users move though a product via grouped page sequences
Alerts
Receive automated alerts and reports based on gains or losses in performance.
Multi-Product Analytics
View analytics for multiple products in a single dashboard, including cross-product engagement
User Scoring
Scores customers and visitors to identify at-risk or thriving accounts.
Integrations
Breadth and functionality of integrations with third-party products.
Baseline
Sets and allows adjustment of website baseline functionality and configuration.
Alerting
Generates alerts for whenever a website goes down, experiences an error, makes a major change, or other events.
Multi-Site Monitoring
Monitor multiple websites at once, organizing them with dashboards.
Reporting
Generate reports manually or automatically about website performance.
Multi-Channel Alerting
Alert over email, text, phone call, and more to multiple parties.
Location Insights
Isolate geographic locations where website functionality is best and worst.
Synthetic Monitoring
Monitors and test apps to address issues before they affect end users.
Dynamic Transaction Mapping
Provides dynamic end-to-end maps of every single transaction.
Load Balancing
Automatically adjusts resources base on application usage.
Cloud Observability
Monitors cloud microservices, containers, kubernetes, and other cloud native software.
User Reports & Feedback
Based on 10 Honeybadger reviews.
Give users in-app method of reporting bugs and leaving general performance feedback.
Tester Reports & Feedback
Give testers in-app method of reporting bugs and leaving general performance feedback.
Team Reports & Comments
As reported in 10 Honeybadger reviews.
Give team members method of reporting bugs and leaving comments on bug status.
Analytics
Provide reproducible, insightful info surrounding bug and crash scenarios.
Bug History
This feature was mentioned in 10 Honeybadger reviews.
Track history of bug status by application version, date, etc.
Data Retention
10 reviewers of Honeybadger have provided feedback on this feature.
Store bug tracking data for an appropriate and useful amount of time.
Dashboards and Visualizations
Presents information and analytics in a digestible, intuitive, and visually appealing way.
Alerts and Notifications
Clearly notifies users with relevant information and anomalies in a timely manner.
Creates reports outlining log activity and relevant metrics.
Automation
Automatically allocates resources to address log anomalies.
Performance Baseline
Sets a standard performance baseline by which to compare log activity.
Real-Time Monitoring
Constantly monitors logs to detect anomalies in real time.
Performance Baselines
Performance Analysis
Performance Monitoring
AI/ML Assistance
Multi-System Monitoring
Dashboards and Visualization
Incident Alerting
Root Cause Analysis (RCA)
Real User Monitoring (RUM)
Captures and analyzes each transaction by users of a website or application in real time.
Second by Second Metrics
Provides high-frequency metrics data.
Data Storage
Ensure data is stored and searchable
Data Optimization and Reduction
Trim unnecessary data from logs
Data Migration
Migrate logs from any origin to any destination
Log Context Enrichment
Add context to log data for better analysis
Data Format Transformation
Transform data into different formats
Cost Reduction
Save money on data ingest and reduce storage and compute costs
Pipeline Visualization
Create a map for all data pipeline
Platform Agnostic Integration
Integrate with mainstream data, monitoring, and security platforms
Root Cause Analysis
Pinpoint source of the problems from observability data
Alert Fatigue Reduction
Enable sentiment-based classification of alerts
Anomaly Detection
Learn what is normal for any given data type
Compliance Maintenance
Maintain GDPR, PCI DSS certifications, SOC1 & SOC2 compliance
Sensitive Data Detection
Find and mask PII in the stream
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Decision Making
Makes informed choices based on available data and objectives
Multi-step Planning
Ability to break down and plan multi-step processes
