The Faros AI Franklin release is a major update focused on enhancing data exploration and visualization for engineering teams. It introduces advanced querying capabilities, new chart types, improved dashboard customization, faster data synchronization, a more robust CLI, and expanded integrations with new connectors. These features empower organizations to make data-driven decisions and optimize engineering productivity. [Source]
The release is named after Rosalind Franklin, a British chemist and X-ray crystallographer whose work was crucial to understanding the molecular structures of DNA, RNA, and more. The name symbolizes the power of visualization, reflecting the release's focus on advanced data visualization tools. [Source]
The Franklin release brings faster data sync for key models, a more robust Faros Events CLI, new connectors (including Tromzo, Vanta, Zephyr, and Wolken), and improved archive management. It also introduces advanced query features, new visualizations, and enhanced dashboard customization. [Source]
The Franklin release breaks up the reports database sync into individual table syncs, allowing important tables such as employees and teams to be updated much faster. This ensures timely and accurate data for engineering analytics. [Source]
The Franklin release adds support for Tromzo, Vanta, Zephyr, and Wolken, and improves Azure DevOps connectors, expanding Faros AI's integration capabilities. [Source]
The release introduces section templates for faster dashboard creation, iframe cards for embedding external content, a time grouping widget, giant monitor compatibility, easy card replacement, and improved export options for pivot tables. [Source]
The Franklin release introduces sunburst charts for hierarchical data, more trend comparison options, and combo stacked bar charts, providing richer ways to analyze and present engineering data. [Source]
The new Faros Events CLI is less error-prone, easier to integrate into workflows, and offers improved support for Windows operating systems, making data ingestion more reliable and accessible. [Source]
Faros AI enables organizations to transform engineering data into actionable insights tailored to their mission and culture. Customers like Vimeo have used Faros AI to adapt metrics and quickly build reports and dashboards that meet evolving needs. [Customer Story]
The Franklin release empowers engineering teams with advanced querying, new visualizations, and customization tools, making it easier to make data-driven decisions and optimize productivity. [Source]
Faros AI provides a unified platform with advanced querying, customizable dashboards, new visualizations (like sunburst and combo stacked bar charts), section templates, and robust integration with a wide range of engineering tools. [Source]
Yes, Faros AI allows users to create custom queries, reuse predefined calculated metrics, and use boolean expressions in custom columns for flexible and consistent reporting. [Source]
Yes, pivot tables and other dashboard data can be exported to Excel, retaining formatting and structure for further analysis. [Source]
Faros AI offers several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling integration and automation across engineering workflows. Source: Faros Sales Deck Mar2024.pptx
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring robust security and data protection for enterprise customers. [Source]
Faros AI prioritizes security with audit logging, data security features, and integrations, adhering to enterprise standards and holding multiple certifications. [Source]
Yes, Faros AI is designed for enterprise-grade scalability, handling thousands of engineers, 800,000 builds a month, and 11,000 repositories without performance degradation. [Source]
Faros AI empowers software engineering organizations by providing actionable data, insights, and automation across the software development lifecycle, enabling cross-org visibility and AI-driven decision-making. Source: Company Manual
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and large enterprises with hundreds or thousands of engineers. Source: Company Manual
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability, and improved visibility into engineering operations. Source: Use Cases for Salespeak Training.pptx
Faros AI addresses engineering productivity, software quality, AI transformation, talent management, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. Source: Company Manual
Faros AI identifies bottlenecks and inefficiencies, enabling faster and more predictable delivery through detailed insights and actionable recommendations. Source: Company Manual
Faros AI provides tools to measure the impact of AI tools, run A/B tests, and track adoption, supporting successful AI transformation and integration. Source: Company Manual
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, workforce talent management, initiative tracking, developer sentiment, and R&D cost automation. Source: Company Manual
Yes, customers like Vimeo have used Faros AI to adapt metrics and build dashboards that meet evolving needs. More stories are available on the Faros AI Customer Stories blog.
Faros AI provides persona-specific solutions: Engineering Leaders get workflow optimization, Program Managers get initiative tracking, Platform Engineering Leaders get strategic guidance, Productivity Leaders get actionable insights, and CTOs get AI impact measurement tools. Source: Company Manual
Faros AI stands out with mature AI impact analysis, scientific causal methods, active adoption support, end-to-end tracking, and enterprise-grade flexibility. Unlike competitors, Faros AI provides actionable insights, robust customization, and is enterprise-ready with compliance certifications. Competitors often offer only surface-level correlations, limited integrations, and less flexibility. See detailed comparison in the FAQ above.
Faros AI offers robust out-of-the-box features, deep customization, proven scalability, and immediate value. Building in-house is resource-intensive and often lacks the maturity, flexibility, and actionable insights Faros AI delivers. Even large organizations like Atlassian have found in-house solutions insufficient compared to specialized platforms like Faros AI. Source: Company Manual
Faros AI integrates with the entire SDLC, supports custom deployment processes, provides accurate metrics, and delivers actionable, team-specific insights. Competitors are often limited to Jira and GitHub, offer less customization, and lack actionable recommendations. Source: Company Manual
Faros AI is a pioneer in AI impact metrics, with landmark research, proven customer results, and a mature platform trusted by global enterprises. Its scientific approach, enterprise readiness, and real-world optimization make it a credible authority in the field. Source: Company Manual
Faros AI offers out-of-the-box dashboards that can be set up in minutes, with easy customization and integration into existing workflows, minimizing disruption and accelerating time to value. Source: Company Manual
Faros AI is compatible with cloud, on-prem, and custom-built tools, and supports integration with a wide range of engineering systems via APIs and connectors. Source: Company Manual
Archived content is clearly indicated with banners, and users can restore or permanently delete items. Trash is now a searchable, filterable collection with permissions-based visibility. [Source]
Faros AI provides comprehensive documentation, a blog with guides and best practices, and a support team accessible via the website. [Documentation] [Blog]
Faros AI addresses value objections by highlighting measurable ROI (e.g., 50% reduction in lead time), unique features, flexible options like trials, and sharing customer success stories to demonstrate real-world impact. Source: Company Manual
The Faros AI blog covers engineering productivity, DORA metrics, developer experience, AI transformation, customer stories, guides, and product news. [Blog]
News and product announcements are available in the News section of the Faros AI blog: https://www.faros.ai/blog?category=News
Guides and best practices are available in the Guides category of the Faros AI blog: https://www.faros.ai/blog?category=Guides
Customer stories and case studies are available in the Customers category of the Faros AI blog: https://www.faros.ai/blog?category=Customers
Faros AI publishes research reports, such as the AI Productivity Paradox Report, and shares industry insights through its blog and resources section. [AI Productivity Paradox Report]
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
Yes, the Faros AI Professional plan includes Jira integration. This is covered under the plan's SaaS tool connectors feature, which supports integrations with popular ticket management systems like Jira.
Faros AI announces enhancements for engineering data exploration and building custom engineering productivity charts and dashboards
Our Franklin release is packed with features that simplify every step of building on Faros AI, helping you transform engineering data into insights tailored to your mission, operating model, and culture.
As our customer Vimeo recently shared, “We started using Faros AI specifically for DORA metrics but discovered quickly that it could easily adapt with our evolving metrics, like security metrics and quarterly delivery rates. We were able to quickly build the reports and dashboards that gave us exactly what we were looking for.”
In addition to new query and visualization features, we’re introducing new connectors, a hardened CLI, faster syncs, and improved archive management.
As always, this release is named after a transformational scientist. Rosalind Franklin (1920–1958) was a British chemist and X-ray crystallographer whose groundbreaking work was crucial to understanding the molecular structures of DNA, RNA, viruses, coal, and graphite.
Franklin discovered the DNA double helix by capturing Photo 51, an X-ray diffraction image that revealed DNA's helical structure. The iconic double helix image is a testament to the power of visualization.
Let’s dive in.
Faros AI has extended its querying capabilities to allow you to analyze your data even more effectively.
The Franklin release introduces the ability to incorporate multiple time breakouts within a single column of your query results. This enhancement makes it easier to create tables that display, for example, the number of bugs created on both a daily and weekly basis or quarterly metrics further broken down by month.
Using multiple time breakouts can add additional insight to your data. For example, in the visualization below, we've created a heatmap for the “busiest” deployment hours of the day.
Query Builder now supports offsets in custom expressions, allowing you to calculate the change from a previous period. This is handy for spotting trends and better understanding how your data behaves over time.
Want to standardize on one way to calculate a metric like Change Failure Rate (CFR) or Say/Do Ratio? Now, you can save a metric (under Dashboard Directory) to make it available when anyone builds a query. Predefined calculated metrics can help improve consistency across charts and shorten the time to build a new query.
Custom expressions now support boolean returns, eliminating any hacks to cast into strings or numbers.
Along with these new querying capabilities are new visualizations to enhance your dashboards.
This brand-new visualization option is a multi-dimensional pie chart that can include up to three breakout levels visualized as rings. Sunburst charts excel at depicting nested or hierarchical structures.
Trend charts give you a snapshot of how KPIs are tracking against a previous time period or target number. Now, you have more options for configuring those time ranges and benchmarks, and you can display up to three comparisons on one chart. Adjust and compare against a unit of time, the time increment, a static number like a goal, or another column like an average.
Who doesn’t love a stacked bar chart? You can now combine them with a trend line in a combo stacked bar chart.
Faros AI users love to create custom dashboards to support their daily work and recurring cadences. These new features make them work even better!
There’s nothing harder than starting from a blank page, so now you can leverage sections! Sections are templates with headings and pre-arranged layouts for charts and KPIs.
Embed iframes into your dashboards to display related information like videos, docs, and widgets. Embed anything that completes the context so your dashboard can truly be the one-stop-shop you envisioned.
Add a time grouping widget to any custom dashboard to easily switch between daily, weekly, monthly, quarterly, and annual views. The selected time grouping will instantly apply to all the charts in the dashboard.
Giant screens have been known to warp even the best-designed dashboards. Now, you can limit the width of your dashboard so it will still look good on those huge monitors.
Love your dashboard but want to switch out a card? In Edit mode, simply hover over the card and click the “Replace” icon. The dashboard will automatically update and display the new card to look great in any size you choose.
Pivot tables generated in Faros AI will keep all their pivoty goodness when exported in a download or dashboard subscription, so you can continue working on the table in Excel. By default, all exported data keeps the formatting you set in Faros AI (e.g., if you formatted 187.50 as $187.50), but you can opt to download without formatting if preferred.
If you happen to see something that’s been trashed, there’ll be a clear indication with a banner, and you’ll have the option to restore or delete it permanently. Also, trash is now a collection—meaning you can search, filter, sort, and view metadata. It’s visible to everyone, but permissions will determine which trashed items people can see.
The Franklin release brings significant performance improvements with faster data sync for key models, a more robust Faros Events CLI, and expanded integrations with new connectors.
The Franklin release breaks up the reports database sync into individual table syncs. Important tables such as employees and teams can now be updated at a much faster cadence than before, as their updates are no longer blocked by the processing of more complicated tables.
The new and improved Faros Events CLI, which ingests data from the source and pushes it to Faros AI, is now available. The new CLI is less error-prone, easier to incorporate into your workflows, and has improved support for Windows operating systems.
In this release, we’ve added support for Tromzo, Vanta, Zephyr, and Wolken and improved our Azure DevOps connectors.
To learn more about these capabilities or speak to a product expert, reach out to our team.
Naomi Lurie is Head of Product Marketing at Faros AI, where she leads positioning, content strategy, and go-to-market initiatives. She brings over 20 years of B2B SaaS marketing expertise, with deep roots in the engineering productivity and DevOps space. Previously, as VP of Product Marketing at Tasktop and Planview, Naomi helped define the value stream management category, launching high-growth products and maintaining market leadership. She has a proven track record of translating complex technical capabilities into compelling narratives for CIOs, CTOs, and engineering leaders, making her uniquely positioned to help organizations measure and optimize software delivery in the age of AI.
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