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.
Haystack Analytics QualarooQualaroo is best suited for product managers, UX designers, and customer feedback teams who aim to optimize user experience and need detailed qualitative insights from users. It's ideal for businesses of all sizes but particularly beneficial for those with the budget to invest in comprehensive user feedback solutions.
Haystack Analytics's answer
Engineering Leaders and Managers
Been using Qualaroo for in-page surveys, and honestly, it just works. No complicated setup, no guessworkโjust pop in a survey, get feedback, and move on. The fact that we can control how much we spend based on responses is a big win. Reports are clean and donโt make us dig through piles of data. Plus, it fits right into our workflow.
Apart from the survey-building, I have been using Qualaroo because it offers tons of different channels to deploy your surveys, and you can collect feedback from your users no matter where they are. There are also plenty of integration options to make the most out of the survey data.
We wanted to collect feedback from the leaving customers, so we used surveys and triggers to show our pop-up as the visitors were about to leave the website. Through the branching logic, we were able to redirect some of the visitors to the right pages and stop them from leaving. The tool was handy, and I would recommend it.
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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