
Haystack Analytics
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Haystack is a real-time delivery analytics platform designed for engineering leaders like CTOs, VPs of Engineering, Directors of Software Engineering, and Engineering Managers. Haystack provides actionable insights that enable data-driven decision-making, aligning engineering performance with business objectives. Haystack platform integrates seamlessly with essential developer tools like GitHub and JIRA, offering a comprehensive view of team productivity and delivery efficiency.
Leading companies like AngelList, Shutterstock, Schneider Electric, and many more trust Haystack to optimize their development processes. By transforming historical Git data into objective insights, we help you identify bottlenecks and visualize trends, ensuring timely project delivery and sustained business growth. Our analytics dashboard allows you to monitor critical metrics such as cycle time, making it easier to spot inefficiencies before they escalate into costly delays.
Haystack helps engineering leaders to mitigate risks and improve workflow efficiency. With a unified view of the entire delivery lifecycle, you can track KPIs, compare performance trends, and make informed decisions that drive measurable outcomes. Our platform goes beyond merely measuring productivity; it equips you with the tools to foster continuous improvement and innovation within your teams.
Designed to scale with your organization, Haystack is the competitive advantage that data-driven engineering teams need to thrive. By leveraging analytics, you can transform your engineering operations, enhance collaboration, and accelerate your path to market success. Join top companies in harnessing the power of Haystack for a more efficient and effective engineering process.
Steerio is a smart SaaS platform for measuring and improving team alignment and engagement. Steerio assists project leaders and team managers in continuously monitoring collective health, boosting team engagement and taking better management decisions. Thanks to tailor-made analytics, AI-powered surveys and a feedback-driven approach Steerio allows halving project cost overruns and improving team experience.
Steerio has three major objectives:
Enable managers to create augmented team experiences and increase teammates engagement and alignment;
Support organisations in closing the project execution gap and achieving better results;
Build the first global team experience platform to come one step closer to creating the first management consulting company without consultants.
At Steerio, we believe that the solution to better project delivery and team management is not adding another project planning app or in stacking consultants but in making the existing team and team leaders smarter. We aim at enhancing their work experience by using collective, intelligent and continuous health checks, we can unveil weak signals and spot potential project issues in advance. Hence, leveraging artificial intelligence and management best practices, we can generate tailor-made analytics and smart recommendations for enabling managers to take the right actions at the right time and measure their impact.
Haystack Analytics
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Haystack Analytics's answer
Engineering Leaders and Managers
Based on our record, Haystack Analytics seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Heads up: site is not loading. Ios Safari & macOS Chrome. Mixed Content: The page at 'https://usehaystack.io/' was loaded over HTTPS, but requested an insecure favicon 'http://www.usehaystack.io/favicon.ico'. This request has been blocked; the content must be served over HTTPS. - Source: Hacker News / over 5 years ago
Hey HN! I'm Julian, co-founder of Haystack (https://usehaystack.io). Weโre building one-click dashboards and alerts using Github data. While managing teams from startups to more established companies like Cloudflare, my cofounder Kan and I were constantly trying to improve our team and process. But it was pretty tough to tell if our efforts were paying off. Even tougher to tell where we could improve. We tried... - Source: Hacker News / over 5 years ago
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