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About Sanofi Sanofi is a global healthcare company known for its innovative approach. The company is committed to advancing scientific breakthroughs to enhance the well-being of individuals. With a presence in approximately 100 countries, Sanofi's team is focused on pushing the boundaries of medicine, striving to accomplish what was once deemed unachievable. Their efforts extend to offering potentially life-altering treatment choices and vital vaccine coverage to millions of individuals worldwide. Additionally, Sanofi strongly emphasizes sustainability and social responsibility as key pillars of its corporate mission. Introducing Bilal Alawiye and his role within Sanofi Bilal began his career as a software engineer, transitioning to Agile practices in 2014 after attending a transformative seminar on Agile principles. His journey led him to an initial focus on Scrum and team dynamics, which expanded into a passion for coaching and Lean principles. Over time, Bilal developed an interest in organizational systems and flow, drawing inspiration from influential thinkers like Daniel Vacanti and others who advanced agile methodologies. Currently, Bilal serves as a Systems Coach at Sanofi, leading a team of approximately eight coaches across different departments within Sanofi’s “Accelerator” ecosystem—a collaborative initiative launched in 2022 to drive strategic projects and foster cultural transformation. His work emphasizes continuous improvement and Lean principles as a foundation for sustainable change. Although “agile” remains part of his title, Bilal prefers terms like “improvement” and “continuous growth,” reflecting his broader approach to systemic coaching and change management. Background Sanofi has been using ActionableAgile® Analytics in Jira Cloud since January 2023.  55 Degrees is excited to build a long-term relationship and support Sanofi with its Accelerator as it looks to drive continuous improvement internally. The Situation Sanofi’s accelerator team embarked on a transformative journey toward agile product delivery, aiming to implement a culture of continuous improvement across their commercial sector while implementing a product-focused approach. Historically, the organization’s large, traditional structure presented a challenge, and moving to a product-focused, iterative model required both cultural and technical shifts. Thanks to supportive leadership, among other things, Sanofi was able to initiate these changes. In 2022, Sanofi’s commercial accelerator team was launched and faced the task of modernizing its approach to product development and delivery within a large, traditionally structured organization. Challenges with Traditional Approaches and Cultural Shifts Sanofi’s work was characterized by highly structured, routine processes that lacked the flexibility to respond to rapid changes in the pharmaceutical landscape. " Teams were not used to working in [an agile] way ," Bilal explained. The company’s size and traditional frameworks made it difficult to scale agility and foster cross-functional collaboration. The shift from rigid, task-oriented workflows to a product-driven approach required not only new processes but also a cultural transformation, which was championed by the CTO. “ Our CTO really had an amazing vision…he came from that world and was able to influence this shift in our ways of working ,” Bilal noted. “ From a business point of view, it was much more of a product approach. We had some conversion rates that we wanted to tackle. We were targeting mainly doctors and patients, but we were also focused on giving treatment faster and earlier to patients. " The Need for Predictable and Efficient Delivery Beyond the cultural changes, Sanofi aimed to improve delivery efficiency and predictability. Traditional practices relied heavily on manual tracking and delayed feedback loops, which slowed down progress and limited visibility into team and product health. By 2022, Sanofi recognized the need to reduce cycle times, standardize their metrics, and adopt a flow-based approach that would allow teams to deliver high-quality outcomes quickly and consistently. "On average, it took about three months for a normal product outside the accelerator to go to production. We needed a way to reduce that dramatically." The Solution: ActionableAgile® Analytics When Bilal and Sanofi’s accelerator team began their improvement and disruptor journey, they recognized that incorporating lean principles and flow into their agile practices—and leveraging their existing data in Jira—could be a powerful way to boost delivery efficiency and foster a culture of continuous improvement. ActionableAgile Analytics for Jira Cloud was the ideal choice, allowing Sanofi’s teams to work directly within Jira without the need to transfer data to external platforms. Once implemented, ActionableAgile Analytics allowed Sanofi to explore real-time flow metrics, sparking immediate interest and engagement. This was boosted thanks to some additional hires who were interested in lean concepts - Something Bilal attributed substantially to the success of rolling out the tool to the organization. Shifting from ‘Mechanical Scrum’ to Flow-Based Agility Sanofi’s accelerator team initially worked with teams accustomed to a structured, routine-based approach, which Bilal referred to as “Mechanical Scrum.” This setup often focused on tasks like daily stand-ups, retrospectives, and story points, which didn’t fully align with the team’s goals for agility.   To change this, the accelerator team began by having one pilot team focus solely on work item age, incorporating this metric into their daily stand-ups. After the stand-up, they would do a problem-solving session they called “Résolution de Problème” (lean practitioners may find this similar to Kaizen discussions).  This shift to incorporating work item age into the daily conversations allowed the team to optimize their work in a very noticeable and visual way. This approach quickly proved valuable, giving the team new transparency into workflow delays and bottlenecks. As they collaborated closely in Jira and experimented with the Monte Carlo Simulations in ActionableAgile Analytics’ for forecasting larger efforts, they realized the power of the platform and probabilistic thinking—sparking broader interest and adoption across teams. Expanding ActionableAgile Analytics Across Teams Encouraged by the shifted mindset and early visible successes, the accelerator team gradually extended ActionableAgile Analytics to additional teams, and soon after, other teams outside the accelerator began adopting the tool in a “snowball” like effect.  Today 7 teams out of 12 use ActionableAgile Analytics as an asset to track flow.  The conversation has started to shift from velocity to flow metrics such as Cycle Time, Work Item Age, WIP, and Throughput.  Most importantly, probabilistic forecasting is now widely recognized across teams throughout the organization, providing a shared language and the ability for more and more of our organization to ground decision-making in real-time data. “People no longer see ActionableAgile Analytics as a tool; they really see it as a ‘continuous improvement of flow’ asset.” (ActionableAgile Analytics Dashboard from March 2025 - Showing how Sanofi keeps WIP limited to just 3 items, enabling them to complete 95% of work items within 10 days. The charts also reveal a dramatic improvement over the year, with the number of work items dropping from over 80 to fewer than 10, reflecting greater focus and flow discipline.) The Result From Bottleneck to Breakthrough: Seeing and Solving the Problem Another Technique that helped Sanofi was seeing their CFD, and heat map showed that sprint after sprint, there was significant aging in the validation process of the work.  Bilal: “We observed that validation was linked to the PO only, We managed to optimize the process of validation by creating a shift right policy where at the beginning of every daily, We would first inspect what needs to be validated and allow everyone to validate that instead of leaving the PO as the main actor of validation as this proved to be a bottleneck for the team.” The North Star for Coaches - Cycle Time The shift towards flow has also reshaped the role of coaching within the accelerator, transforming it from an advisory role into an accountable “sports coaching” model, as the team terms it. Coaches now track metrics like cycle time as a “North Star” to gauge learning and adaptation speeds.  This focus on measurable outcomes has fostered a culture of continuous improvement, with flow metrics like cycle time serving as indicators of efficiency and alignment. In embracing ActionableAgile Analytics, Sanofi’s teams have found a sustainable method for promoting fast, efficient learning and elevating their workflow processes, establishing flow metrics as a core part of their agile transformation. Accelerating Time to Production - 3 months to 12 days! With the implementation of ActionableAgile Analytics, Sanofi’s accelerator team achieved a remarkable improvement in time to production. Previously, moving a product from development to production outside of the accelerator took about three months. However, thanks to the combined efforts of ActionableAgile Analytics, the engineering team, and the discovery team, the accelerator reduced this timeline to just 12 days. By leveraging dedicated engineering platform, teams, and investing in tools like ActionableAgile Analytics,  Datadog, and Backstage for DORA metrics, the ac celerator developed a streamlined, efficient production pipeline, setting a new standard for delivery speed across the organization. “ At Sanofi, we’re a scientific company, so we prioritize a scientific approach to problem-solving and taking action. We can’t rely on wishful thinking alone. For example, if we see that delivery takes 30 days, we can now challenge our coaches with a clear, data-driven question: What coaching strategy could help reduce this to under 15 days? ” Summary of Outcomes Early Adoption and Scalability of Flow Metrics - The Accelerator has laid the groundwork for scaling ActionableAgile Analytics to broader organizational levels. A shift from Mechanical Scrum to Flow-Centered Agility. Significant Reduction in Time to Production. Increased Transparency and Non-Judgmental Data Culture  - Sanofi created a culture of transparency, where data serves as a tool for inquiry rather than evaluation. Support for Agile Coaches with a Standardized “North Star” Cycle Time Metric. What Does the Future Look Like for Sanofi? Establishing Transparency and Embracing Flow at All Levels Looking ahead, Sanofi’s accelerator team envisions a future where transparency and flow metrics become central to all levels of the organization, from individual teams to portfolio-level strategy. By leveraging ActionableAgile Analytics, they aim to create a culture where data sparks productive inquiry rather than judgment. Bilal noted that traditional metrics often push teams toward binary thinking—labeling performance as simply “good” or “bad.” In contrast, flow metrics shift the conversation toward continuous improvement. “ It’s not about good or bad,” Bilal explained. “It’s about understanding where we are now, where we want to go, and what obstacles are preventing us from reaching that target condition—both in terms of process and outcomes. Then we ask: what’s the next step we can test to address that obstacle? ” Currently, ActionableAgile Analytics is primarily applied at the team level. However, Sanofi’s vision involves scaling flow metrics to the organizational tiers where bottlenecks and dependencies often impact larger initiatives. Building Buy-In Although manager buy-in came more easily than anticipated, the team recognizes that more work is to be done among some team members. The challenge is addressing dependencies and resource limitations exposed by flow metrics. The accelerator’s long-term goal is to consolidate data from multiple teams to provide a holistic view of flow challenges, identifying areas where improvement is needed across the organization. With these changes, Sanofi aims to embed flow at every level, evolving from team-specific improvements to a fully integrated, data-driven approach to organizational agility.

We’ve been waiting for this moment, and it’s finally here! Portfolio Forecaster 2.0 is moving from beta to general availability (GA), and we couldn’t be more excited. This isn’t just an update, it’s a complete transformation of how teams forecast their work. Over the past months, we’ve fine-tuned Portfolio Forecaster 2.0 based on your feedback during the beta phase. Your insights helped us iron out issues, enhance key features, and introduce new capabilities that make forecasting more flexible, precise, and powerful than ever -- and this is just the start! Now, Portfolio Forecaster 2.0 is powered in part by Atlassian Forge, packed with new features, and available to even more teams. If you're still using the previous version, now is the time to upgrade because the future of forecasting has arrived! What is Portfolio Forecaster? In an unpredictable work environment, Portfolio Forecaster helps teams remove uncertainty by providing accurate forecasts based on actual work patterns. Instead of relying on gut feelings and static roadmaps, Portfolio Forecaster delivers probabilistic forecasting, allowing you to see when your work is likely to be completed. No magic, just data-driven insights. Whether managing a single project, multiple teams, or an entire portfolio, Portfolio Forecaster gives you the visibility you need to plan confidently. From Beta to General Availability: What’s New? When we launched Portfolio Forecaster 2.0 in beta, we knew we were onto something special. But we didn’t stop there! Thanks to your feedback, we went back to work, refining the experience to make it smoother, smarter, and more secure. Here’s what we improved between beta and GA: ✅ Fixed Bugs & Improved Performance – Faster, more reliable, and smoother than ever. ✅ Scenario Planning – One of the most requested features is here! Now, you can compare multiple "what-if" scenarios to make informed decisions before committing to a plan. ✅ Forecast Portfolios – Get a bird’s-eye view by combining multiple forecasts into a single, streamlined view, perfect for tracking progress across projects, programs, or departments. ✅ Portfolio Forecaster Now Runs on Atlassian Forge Remote – a major upgrade in security and performance, ensuring your data is managed with the highest level of protection. With these enhancements, Portfolio Forecaster 2.0 is more robust, flexible, and secure than ever, built to help teams of all sizes drive better predictability and smarter decision-making. What Makes Portfolio Forecaster 2.0 a Game-Changer? Goodbye, Limitations: Forecast Any Issue Type Forget the old restrictions. Portfolio Forecaster 2.0 lets you forecast using any issue type! Whether you're tracking epics, stories, tasks, or custom issue types, you now have complete flexibility in how you structure your forecasts. Scenario Planning: Explore Different Outcomes Before Deciding One of the biggest enhancements in Portfolio Forecaster 2.0 is Scenario Planning, giving you the power to explore multiple possibilities before making a decision. With Scenario Planning, you can: ✔ Compare different “what-if” scenarios to evaluate best-case, worst-case, and realistic timelines. ✔ Adjust team capacity, work scope, or priorities and instantly see the impact on your forecasts. ✔ Make data-backed decisions instead of relying on guesswork. This feature is a game-changer for project managers, product owners, and leadership teams. It helps you plan ahead, mitigate risks, and adjust strategies proactively. Forecast Portfolios: A High-Level View of Everything One of the most powerful additions in Portfolio Forecaster 2.0 is Forecast Portfolios. A way to combine multiple forecasts into a single, consolidated view. This means you can: ✔ Track multiple projects, teams, or initiatives from one place. ✔ Keep leadership and stakeholders informed with a clear, high-level overview. ✔ Maintain visibility into cross-team efforts without losing the details. If you manage multiple teams or large-scale projects, this is the feature you’ve been waiting for! Stronger Security with Atlassian Forge Remote Portfolio Forecaster now runs on Atlassian Forge Remote, a major security and performance upgrade. This means: ✔ Tighter data security aligned with Atlassian’s latest best practices. ✔ Improved scalability, ensuring Portfolio Forecaster can grow with your organization. ✔ Better performance, so forecasts run faster and smoother. Security and reliability matter, and with Forge Remote, Portfolio Forecaster 2.0 is built for the future. What’s Next? More Awesome Stuff on the Way! We’re not stopping here. We’re working on even more exciting features to take your forecasting experience to the next level. While we can’t reveal everything just yet, trust us, you’re going to love what’s coming! Stay tuned for future updates. Time to Upgrade - Here's What You Need to Know For Beta Users:   If you were part of the beta, ask your Jira admin to upgrade now so you can continue to use the app and access the latest updates. For Users on the Legacy version:   Still using the older version? Now’s the perfect time to upgrade! Version 1.0 will no longer be available after April 2nd , so make the switch today. Need help? Your Jira admin can assist. Need help upgrading?  Check out our documentation page  for step-by-step guidance.   Got questions? Our support team is happy to help! Reach out HERE . Want to discuss this new release? Join the conversation in our community !   Haven't used Portfolio Forecaster before? Now's the perfect time to start. Experience how it will help your team streamline forecasting and decision-making. Try it out for free !     Thank You for Helping Us Build This! Your feedback made this possible, and we’re so grateful to our beta testers and early adopters for shaping Portfolio Forecaster 2.0 into the powerhouse it is today. Upgrade now and start forecasting with confidence!

About Fruugo Fruugo enables retailers everywhere to sell to shoppers anywhere. As a global marketplace, Fruugo understands the complexities and intricacies of cross-border trade and offers the quickest, easiest, and most risk-free way of selling your products globally. Customers can shop in their language and currency from anywhere in the world, enjoying a truly localized experience with exchange rates and shipping costs, all managed by Fruugo. As more customers shift to shopping online, they are increasingly shopping internationally. Fruugo’s highly diverse range of customers and retailers is empowered by its innovative technology and knowledge, allowing both to connect seamlessly in over 40 countries around the world. Introducing Ben Cutler and his role within Fruugo Ben is the Lead Scrum Master at Fruugo, where he’s been making an impact for nearly two years. With a strong background in development, testing, automation, DevOps, and leadership, Ben brings a wealth of hands-on experience to his role. While Ben serves as Scrum Master for multiple teams, he also plays an integral part in driving transformative initiatives across the organization. His work focuses on improving predictability at Fruugo and fostering a culture of continuous improvement. In addition to his Scrum Master duties, Ben also dabbles as a Jira administrator, customizing and automating workflows to streamline processes. His goal is to empower teams, provide valuable insights into the business, and ultimately help the teams move faster. Background Fruugo started using ActionableAgile® Analytics in January 2023 - shortly before Ben started with the company. Ben did however drive the adoption and integration of Portfolio Forecaster in 2024 which is now used alongside ActionableAgile® Analytics. Using data to support decision-making and agile practices is something the team at Fruugo has come to have at the core of its team.  Fruugo are heavily invested in the Atlassian suite and along with Jira and Confluence they also use Jira Service Management, Bitbucket, Bamboo and Status Page. The Situation When Ben joined Fruugo in 2023, the team had already started using ActionableAgile® Analytics. While its adoption across the engineering teams was still in its early stages, the Agile team had started to embrace a data-driven decision-making mindset and a strong focus on continuous improvement. ActionableAgile® Analytics, seamlessly integrated with Jira, quickly became a valuable tool in supporting these efforts. At the time, Fruugo’s teams were primarily Scrum-based, with a few Kanban teams. Many teams were still relying on Story Points and deterministic estimates. Ben introduced his teams to a more forward-thinking approach: forecasting with Throughput data and Monte Carlo simulations within ActionableAgile® Analytics. After reviewing the data and finding it to be more reliable and engaging the team in more meaningful conversations, the teams quickly adopted this new method. Other Scrum Masters have since followed suit, applying the same approach with their teams, and found similar success How Fruugo uses ActionableAgile® Analytics Ben mentioned that the team at Fruugo use ActionableAgile® Analytics every day in some shape or form. This can be seen in many of the traditional Scrum Events.  Sprint Planning At the team level, ActionableAgile® Analytics plays a crucial role in sprint planning. By leveraging Monte Carlo simulations, teams address the key question: “What should our commitments be?”   This data-driven approach prevents overloading teams with work that cannot be delivered, improving predictability and ensuring sustainable commitments. Monte Carlo: When Chart in ActionableAgile® Analytics Daily Stand Ups:   During daily stand-ups, the Work Item Age Chart is a standout feature for Fruugo. This chart helps teams decide what to prioritize, a practice Ben described as invaluable.  Inspired by Daniel Vacanti’s guidance to “focus on your oldest ticket first,”  the teams use this visual tool to identify and address aging work items effectively. Aging Work In Progress Chart in ActionableAgile® Analytics Retrospectives:  In team retrospectives, Fruugo often incorporates data from ActionableAgile® Analytics to review key metrics like Cycle Time and Throughput. While retrospectives don’t always rely heavily on data, Ben emphasized that these insights are especially valuable when the team wants to assess performance and identify areas for workflow improvement. As Ben put it, reviewing this data is "great for assessing performance and focusing on the team’s flow." This flexible approach allows teams to strike a balance between reflective discussions and actionable insights, ensuring retrospectives remain both meaningful and productive. Large-scale Project Planning with Portfolio Forecaster Outside of events  At Fruugo, Portfolio Forecaster is an essential tool that extends beyond the typical day-to-day Agile events. It plays a critical role in facilitating broader conversations, setting realistic expectations, and supporting key decision-making processes. One of its uses is in Fruugo's Portfolio Review meetings, which take place every two weeks. These meetings bring together senior leadership and representatives from all product areas to review progress on the current strategic priorities.  To prepare for these sessions, Scrum Masters and their Product Owners (POs) will meet to review the most up-to-date forecasts provided by the Portfolio Forecaster. This ensures everyone is equipped with clear, data-driven insights to present during the Portfolio Review meetings. What sets the Portfolio Forecaster apart is its flexibility. Ben highlights that it’s not tied to a rigid schedule and can be used dynamically to support planning and prioritization whenever needed. For example: When a batch of new work is refined, the team consults the forecaster. After completing a significant amount of work, the forecast is updated. When requests arise to introduce new work, the tool can show the potential impact. This continuous forecasting approach allows the team to make informed decisions in real-time. By having access to accurate and up-to-date data, Fruugo can engage in meaningful conversations at both the business and portfolio levels. While the tool isn’t monitored every hour, its availability ensures clarity and confidence in decision-making whenever it’s needed. Fruugo’s Results 50 Work Items, 4,000 Days: A Workflow Overhaul Success Story  Ben shared a remarkable transformation story from Fruugo's IT Support team, which handles internal tech support and requests.  Initially, the team faced significant challenges in managing their workload efficiently. Balancing dual responsibilities and providing support while also contributing to project work, meant they couldn’t focus fully on either. As a result, their work-in-progress began to spiral out of control. Using ActionableAgile® Analytics, the team discovered that in September 2023, they had approx 50 work items in progress, with a staggering total age of 4,000 days  ( data provided by the Work In Progress Run Chart ). By leveraging the insights gained from ActionableAgile® Analytics, the team initiated focused discussions—similar to retrospectives—about prioritization and process improvement. They used the WIP Run Chart and Cycle Time data to: Identify request types taking longer to resolve. Prioritize efforts to improve these request types. Gather more data to address recurring bottlenecks. Enhance processes, such as improving request submissions to prevent inefficiencies. The results were dramatic. Today, the team has reduced their work-in-progress to 12 items with a total age of only 77 days. This shift has transformed their service desk from "not very good" to a fit-for-purpose, highly effective service. Reflecting on the achievement, Ben shared: “I like to look at that graph on difficult days or when I feel like I haven’t made much progress. It reminds me that we’ve achieved something.” Teams more informed  Ben shared how ActionableAgile® Analytics is empowering teams to make more informed, data-driven decisions. While the organization is still refining its overall approach, many teams, especially the Product Owners (POs), are now much clearer on their direction and how they will achieve their goals. By utilizing ActionableAgile® Analytics and Portfolio Forecaster, the teams can now make more strategic decisions about prioritization. This ranges from small-scale decisions, like evaluating the impact of adding an extra ticket, to larger, more strategic choices, such as assessing the consequences of taking on an additional week’s worth of work. This deeper understanding allows teams to better weigh trade-offs and fully understand the implications of their decisions on ongoing projects. Ben emphasized that this level of clarity and insight is something they aim to extend to the wider organization, ensuring that everyone can benefit from a consistent, data-driven approach to planning and prioritization. Summary of Outcomes Improved Team Alignments/ Expectations   Dramatically Improved Service Response Time Improved Predictability At A Team and Business Level.  Faster Value Delivery Informed Conversations and Decision-Making What Does the Future Look Like for Fruugo? Placing Greater Emphasis on Flow Looking ahead, Fruugo is prioritizing improvements in team flow, with a specific focus on optimizing the end-to-end work delivery process. Challenges such as limited automated testing and deployment delays have highlighted key areas for improvement, which will be addressed to create a smoother, more efficient delivery pipeline. By leveraging Cycle Time  and Throughput data  from ActionableAgile® Analytics, Fruugo will identify bottlenecks and inefficiencies in team workflows. The goal is to collaborate closely with teams to increase throughput, streamline processes, and ensure a seamless flow of work from start to finish. This renewed focus on flow is vital to Fruugo’s future, as it will help reduce delays, boost efficiency, and ultimately deliver more value to the business. Experimenting with OKRs At Fruugo, Ben has been piloting Allan Kelly’s Agile OKR framework, which is now being rolled out across all teams. The adoption of OKRs is designed to empower teams to design solutions that can be delivered within a committed timeframe, while also fostering a shared understanding and alignment across the business. When combined with complementary practices like Story Mapping and slicing, OKRs are driving greater focus, reducing distractions and increasing value. Additionally, tools like ActionableAgile® Analytics and Portfolio Forecaster provide valuable data and insights to guide conversations around work sizing, prioritization, and ongoing stakeholder discussions.

Compare Portfolio Forecaster prices by version. Automated Forecasts. Always up-to-date. Portfolio Forecaster is a powerful forecasting tool for Jira users that enables you to generate accurate, up-to-date forecasts and portfolios automatically. Using Monte Carlo simulations leverages your historical project data and risk tolerance to predict timelines and outcomes for any issue type, ensuring smarter, data-driven decisions for your team. Try it for free Overview Pricing Roadmap Select your Jira billing cycle Monthly Annual Number of users in your Jira instance Looking for a discount? Contact us for a partner referral Price estimate (This does not include any taxes) $10.00 per month $1 per user per billing cycle Price is provided as guidance only. Final price is calculated on the Atlassian Marketplace. Try Free for 30 Days! 55 Degrees is a Platinum Atlassian Marketplace Partner. Portfolio Forecaster for Jira participates in Atlassian's security programs and is Cloud Fortified Features 55 Degrees offers 2 versions of Portfolio Forecaster for Jira - standard and advanced edition. Interested in the Advanced Edition - reach out to us!

55 Degrees AB delivers apps that focus on helping you get more done with less stress. Be predictable. Be confident. Be agile. Trusted globally by 1600+ companies Powerful solutions that take you from busy to effective Agile Flow Metrics for Jira, Azure DevOps, or standalone SaaS Measure and improve Flow. Be Predictable. Answer "When will it be done?" Learn More Portfolio Forecaster Continuous Forecasting for Jira Forecast any issue type, not just epics, with confidence using probabilities. Learn More Klar for Jira Cloud Configure & answer refinement questions for your work. Know just enough to start! Learn More Inspekt for Jira Cloud Analyze raw workflow data for cumulative time in status and how items move in the workflow. Learn More Products Julie Starling - Agile Delivery CoP Manager Financial Services Organization with over 1400 employees By regularly forecasting with ActionableAgile, we could clearly show when circumstances impacted our delivery timescales; previously, these would have been recognized as affecting our delivery. Monte Carlo simulation's what-if scenario planning function has enabled us to discuss what is happening and if trends are changing with stakeholders and teams. This allowed us to take meaningful action at the soonest possible opportunity and put the decisions with the right people. Recent Blog Posts Accelerating Flow in Pharma: How Sanofi Cut Time to Production by 80% About Sanofi Sanofi is a global healthcare company known for its innovative approach. The company is committed to advancing scientific... Brodie Chivers Apr 1 7 min read 93 2 likes. Post not marked as liked 2 Portfolio Forecaster 2.0 is Here: From Beta to General Availability! We’ve been waiting for this moment, and it’s finally here! Portfolio Forecaster 2.0 is moving from beta to general availability (GA),... Victor Agbebo Mar 18 4 min read 96 Post not marked as liked Fruugo’s Path to Predictability and Strategic Planning Excellence About Fruugo Fruugo enables retailers everywhere to sell to shoppers anywhere. As a global marketplace, Fruugo understands the... Brodie Chivers Mar 17 6 min read 74 3 likes. Post not marked as liked 3 Read more > A culture based on security and privacy An important part of living up to our values is our commitment to data privacy and security throughout all aspects of our organization. We don't take a single step without ensuring we've taken all reasonable steps to protect your data and privacy. Protect customer and personal data at all times Comply with applicable privacy regulations Avoid processing or storing unneeded data Compliance Certifications and Standards ISO 27001 GDPR Atlassian Security Programs Interact with us at an upcoming event Atlassian Team ‘25 Apr 08, 2025, 8:00 AM Anaheim, Anaheim, CA, USA More info RSVP More events >

Compare ActionableAgile Analytics prices by version. Improve Flow. Be Predictable. Understand how work really moves through your process so you can ask the right questions, drive meaningful improvement, and accurately forecast outcomes in uncertain situations. Try it for free Overview Pricing Roadmap FAQ Choose your version Need help? SaaS Azure DevOps Jira Cloud Jira Data Center Per User pricing Your total price is determined only by the number of users you’d like to license. Every subscription owner can manage users, change billing information, and even cancel if necessary. Read more in our documentation. All prices exclude VAT, if applicable. Try Free for 30 Days! Monthly $20 /User Month-to-Month Subscription Multi-User Subscription Management Pay by Credit Card Only Access to All Features Annually $200 /User One-year commitment Multi-User Su bscription Management Can pay by invoice for 5+ users Access to All Features Per User pricing Your total price is determined only by the number of users you’d like to license. Every subscription owner can manage users, change billing information, and even cancel if necessary. Read more in our documentation. All prices exclude VAT, if applicable. Try Free for 30 Days! Monthly $20 /User Month-to-Month Subscription Multi-User Subscription Management Pay by Credit Card Only Access to All Features Annually $200 /User One-year commitment Multi-User Su bscription Management Can pay by invoice for 5+ users Access to All Features Price based on number of Jira users We’ve adjusted our per-user cost so that licensing your entire Jira instance is often cheaper than licensing a much smaller number of users in our SaaS app (and it has fewer features!) Try Free for 30 Days! Select your Jira billing cycle Monthly Annual Number of users in your Jira instance Looking for a discount? Contact us for a partner referral Price estimate (This does not include any taxes) $12.50 per month $1.25 per user per billing cycle Price is provided as guidance only. Final price is calculated on the Atlassian Marketplace. ActionableAgile Analytics for Jira must be purchased through the Atlassian Marketplace Price based on Jira user tier We’ve adjusted our per-user cost so that licensing your entire Jira instance is often cheaper than licensing a much smaller number of users in our SaaS app (and it has fewer features!) Try Free for 30 Days! ActionableAgile Analytics for Jira must be purchased through the Atlassian Marketplace Have 6000+ users? See our additional pricing details Which version is best? Every version of ActionableAgile® Analytics provides the same amazing charts and simulations, filter and segment capabilities, and export options. All versions are also covered under our compliance certifications. What’s different? Take a look at the table below!