
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.
Viima's simple, yet incredibly powerful Agile Innovation Platform is the most widely used and highest rated idea management software in the world. With Viima, you can effortlessly collect ideas from different stakeholders and manage them all the way through to innovations. Viima's uniquely flexible, yet robust approach allows organizations to configure the tool to match their brand and processes, and provides users with an extremely engaging user experience.
And, you can get started in minutes, completely free of charge.
It's Best For: Organizations that are looking to deliver measurable results with innovation and create a company culture focused on innovation and continuous improvement. Ideal for medium and large organizations.
With Viima you can: * Collect ideas from your employees, customers, and other stakeholders. * Prioritise ideas and pick the right ones to progress. * Develop andย refine ideas together with your team. * Analyse your innovation process to find and eliminate bottlenecks.
Viima is already used by more than 20 000 organizations around the world.
Haystack Analytics
ViimaOrganizations of all sizes looking to improve their idea management and innovation processes; teams seeking to boost collaborative efforts in idea generation; companies aiming to involve employees and customers in the innovation lifecycle.
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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