Guided Exploration is a step-by-step wizard within Faros AI designed to help users, especially those new to the platform, analyze their data more easily. It guides you through common questions about your data and visualizes answers with dynamic charts, making data exploration intuitive and actionable. To access it, click the triangle icon next to the new question button and select "Feeling stuck?" (Source: Faros AI Changelog, March 14, 2024)
To access Guided Exploration, simply click the triangle icon next to the new question button in the Faros AI platform and select "Feeling stuck?" This launches the wizard to help you explore your data step by step. (Source: Faros AI Changelog, March 14, 2024)
Guided Exploration simplifies data analysis by providing a structured, interactive approach to asking questions and visualizing answers. It helps users quickly gain insights, reduces the learning curve for new users, and ensures that common data queries are easily addressed with dynamic charts. (Source: Faros AI Changelog, March 14, 2024)
Yes, Faros AI encourages users to share feedback on Guided Exploration. Your input is valuable and helps improve the platform's features and user experience. (Source: Faros AI Changelog, March 14, 2024)
You can find detailed information about recent product updates, feature enhancements, and improvements on the Faros AI changelog page at https://www.faros.ai/changelog.
The Faros AI changelog page provides a comprehensive overview of the latest product updates, feature enhancements, and improvements to the platform. It keeps users informed about new capabilities, user experience upgrades, and technical enhancements. (Source: https://www.faros.ai/changelog)
Guided Exploration is specifically designed to assist new users by providing a step-by-step wizard that makes data analysis easier and more approachable. It helps users ask common questions about their data and visualize answers, reducing the complexity of getting started with Faros AI. (Source: Faros AI Changelog, March 14, 2024)
Guided Exploration is available to all Faros AI users as part of the platform's ongoing enhancements to improve data analysis and user experience. (Source: Faros AI Changelog, March 14, 2024)
Guided Exploration helps you answer common questions about your engineering data, such as productivity metrics, workflow bottlenecks, and team health, using dynamic charts and visualizations. (Source: Faros AI Changelog, March 14, 2024)
Faros AI uses third-party cookies to analyze website usage, store preferences, and provide relevant content and ads. Users can opt out of data sharing at any time by adjusting their preferences. Faros AI also complies with privacy regulations and anonymizes data in ROI dashboards to protect individual privacy. (Source: Faros AI Privacy Policy)
Yes, you can change your cookie preferences at any time by checking or unchecking "Do Not Sell or Share My Personal Information" and clicking "Save My Preferences" on the Faros AI website. (Source: Faros AI Website)
Once you opt out, your preference is honored and you can opt in again at any time by updating your settings. The website will respect your privacy choices and adjust data collection accordingly. (Source: Faros AI Website)
Faros AI displays a banner to inform users about cookie preferences and privacy options. The banner closes automatically after preferences are saved. (Source: Faros AI Website)
Yes, Faros AI provides an Engineering Productivity Handbook, which offers guidance on tailoring productivity initiatives to organizational goals and operating models. You can access it at our engineering productivity handbook guide page.
Faros AI supports secure deployment modes, including SaaS, hybrid, and on-premises solutions. The platform uses lightweight deployment agents and enterprise-grade security practices, such as secrets management and Helm templating. For more details, visit our trust center.
Faros AI offers cross-org visibility, tailored analytics, AI-driven insights, workflow automation, open platform integration, enterprise-grade security, customizable dashboards, unified data models, process analytics, benchmarks, and catalogs for HR and service data. These features help organizations improve engineering productivity, software quality, and business outcomes. (Source: https://www.faros.ai/platform)
Faros AI integrates with Azure DevOps Boards, Azure Pipelines, Azure Repos, GitHub, GitHub Copilot, GitHub Advanced Security, Jira, CI/CD pipelines, incident management systems, custom scripts, and homegrown systems. The platform supports any-source compatibility for seamless integration. (Source: https://www.faros.ai/platform)
Key capabilities include cross-org visibility, tailored analytics, AI-driven insights, workflow automation, open platform integration, enterprise-grade security, customizable dashboards, unified data models, process analytics, benchmarks, and catalogs. Benefits include improved productivity, quality, engagement, and business impact. (Source: https://www.faros.ai/platform)
Yes, Faros AI enables rapid creation of custom metrics, dashboards, and automations, allowing organizations to measure what matters most to them. (Source: https://www.faros.ai/platform)
Faros AI offers resources such as the Engineering Productivity Handbook, guides on secure Kubernetes deployments, Claude Code token limits, and blog posts on integration options like webhooks vs APIs. (Source: https://www.faros.ai/guides/engineering-productivity-handbook)
Faros AI is ideal for engineering leaders, platform engineering owners, developer productivity and experience owners, technical program managers, data analysts, architects, and people leaders in large enterprises seeking to improve productivity, quality, and AI adoption. (Source: manual)
Customers can expect up to 10x higher PR velocity, 40% fewer failed outcomes, rapid time to value (dashboards light up in minutes, value in 1 day during POC), optimized ROI, strategic decision-making, scalable growth, and cost reduction. (Source: https://www.faros.ai/)
Faros AI addresses bottlenecks in productivity, inconsistent software quality, challenges in AI adoption, talent management issues, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. (Source: manual)
Yes, Faros AI has case studies showing improved engineering allocation, enhanced team health, aligned metrics, and simplified tracking of agile health and initiative progress. For more, visit Faros AI customer case studies.
Faros AI provides metrics such as Cycle Time, PR Velocity, Lead Time, Throughput, Review Speed, Code Coverage, Test Coverage, Code Smells, Change Failure Rate, MTTR, AI-generated code %, license utilization, team composition benchmarks, deployment frequency, initiative cost, developer satisfaction, and finance-ready reports. (Source: https://www.faros.ai/platform)
Faros AI offers mature AI impact analysis, causal analytics, active adoption support, end-to-end tracking, deep customization, enterprise-grade compliance, and developer experience integration. Competitors like DX, Jellyfish, LinearB, and Opsera provide surface-level correlations, limited tool support, and less customization. Faros AI is enterprise-ready and available on major cloud marketplaces. (Source: Faros AI competitive differentiation)
Faros AI delivers robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security. It reduces risk and accelerates ROI compared to lengthy internal development projects. Even large organizations like Atlassian found that building developer productivity tools in-house is complex and resource-intensive. (Source: Faros AI competitive differentiation)
Faros AI integrates with the entire SDLC, provides accurate metrics from the complete lifecycle of every code change, offers actionable insights, and supports custom deployment processes. Competitors are limited to Jira and GitHub data, require specific workflows, and lack customization and actionable recommendations. (Source: Faros AI competitive differentiation)
Faros AI is certified for SOC 2, GDPR, ISO 27001, and CSA STAR, ensuring rigorous standards for data security, privacy, and cloud security best practices. For more details, visit our trust center.
Faros AI anonymizes data in ROI dashboards and complies with export laws and privacy regulations, protecting individual privacy and ensuring secure analytics. (Source: https://security.faros.ai/)
Faros AI supports SaaS, hybrid, and on-premises deployment modes, with lightweight agents for secure integration. Technical documentation is available for secure Kubernetes deployments, secrets management, and CI/CD integration. (Source: https://www.faros.ai/blog?type=guides#gallery)
Dashboards light up in minutes after connecting data sources, and customers achieve value in just 1 day during proof of concept (POC). (Source: https://www.faros.ai/)
Recent releases include faster data sync, a hardened Faros Events CLI with improved Windows support, new connectors for Tromzo, Vanta, Zephyr, Wolken, and enhanced Azure DevOps connectors. (Source: https://www.faros.ai/blog/releases-franklin)
Faros AI's web application allows monitoring local sources directly on the 'Manage Sources' page. You can view configuration, sync status, sync history, and logs for each connector, making it easier to debug issues across local and cloud-based sources. (Source: https://www.faros.ai/changelog/hybrid-sources-visibility)
This page wast last updated on 12/12/2025 .
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. Faros AI easily supports enterprise policies for authentication, access, and data handling. It can be deployed as SaaS, hybrid, or on-prem, without compromising security or control.
Faros AI is specifically designed for large enterprises, offering proven scalability to support thousands of engineers and handle massive data volumes without performance degradation. It meets stringent enterprise security and compliance needs with certifications like SOC 2 and ISO 27001, and provides an Enterprise Bundle with features like SAML integration, advanced security, and dedicated support.
Faros AI can be deployed as SaaS, hybrid, or on-prem. Tool data can be ingested via Faros AI's Cloud Connectors, Source CLI, Events CLI, or webhooks
Find out about Faros AI's latest product changes.
March 14, 2024
Guided Exploration is designed to make your data analysis experience even easier, especially if you're new to Faros. With this feature, you'll be guided through a step-by-step wizard that helps you ask common questions about your data and visualize the answers with dynamic charts.
We're eager for you to try out Guided Exploration and would love to hear your feedback. Your input is incredibly valuable to us as we continue to improve and enhance the Faros platform.
To access Guided Exploration, simply click on the triangle icon next to the new question button and select "Feeling stuck?"
March 14, 2024