In the majority of cases, this comes down to an organization understanding DevOps as a development or operational issue, one meant to speed the delivery of code from one group to another. This perception of DevOps, though, misses a couple of important areas.

The first, as I wrote about a while back, is the need to have security baked into the whole process in the form of DevSecOps. The second, and possibly even more important, is the need to have the business leaders involved from the get-go, as in BizDevOps — sometimes referred to as BusDevOps as well.

BizDevOps will ensure that the right focus is on the end-to-end processes required for a successful DevOps for business strategy.

Continuous development and delivery models break work into small increments that teams can handle efficiently and in near-real time, preventing bottlenecks before they form. That is a clear improvement over waterfall, where sequential handoffs add significant time to delivery in the name of stability. Yet DevOps on its own does not fully solve the problem of IT effectiveness: moving fast is only valuable if what you ship actually serves the business. Streamlined processes between development and operations mean nothing if the outcome misses business goals.

This is why many practitioners argue for reframing DevOps as BizDevOps—a model in which every technical decision is driven by explicit business requirements. Development teams can drift toward technically interesting but lower-priority work. A well-structured feedback loop enforces priorities and keeps the fast pace of DevOps aligned with business outcomes.

Stage 1: Define the Goal Before Writing a Line of Code

The first stage of a complete DevOps feedback loop is straightforward but frequently skipped: the business must define a specific problem. Project leaders work with the IT team to develop a basic approach to a resolution before any code is written.

Developers then create an initial code layout—a strawman, not production-ready code—and return to the project team for comments and concerns. Doing this early, before the codebase grows large, keeps edits manageable. This feedback loop between developers and business stakeholders should run multiple iterations until both sides agree on the application’s direction.

Once that alignment exists, operations should join the conversation to confirm that the proposed approach is supportable in the production environment. Bringing operations in at the design stage—rather than at deployment time—surfaces infrastructure and supportability issues while they are still cheap to address.

Stage 2: Validate That the Project Works in the Real Environment

IT operations extends the feedback loop begun between the application owner and developers. If the code is not ready for the production environment, teams must make an explicit decision:

• Does operations need to acquire or provision additional infrastructure—on-premises or cloud—to support the workload?
• Or should development and operations escalate to the project team for a decision on resource allocation and budget before moving the code forward?

Once resource decisions are made, the feedback loop resumes. Developers create and package the full code, and the QA team tests it while providing real-time feedback to developers. Crucially, the testing process must weigh a release’s effect on the business—not just its technical correctness.

Consider this example: test users report the same minor issue 100 times. On the surface, 100 reports sounds alarming, but if each tester can easily work around the problem and still complete their tasks, the business impact is low. Contrast that with a single report of an issue that completely blocks task completion—that one report likely carries a far higher business cost. A DevOps feedback loop must be designed to surface these priority distinctions clearly, not just count tickets.

After testing, the IT team provisions the code to the operational environment. If the development-to-operations feedback loop has functioned well, the required infrastructure will already be in place, making deployment straightforward.

Stage 3: Monitor the Deployment and Keep the Loop Running

When the workload is live, the most familiar phase of DevOps begins—but it is not the final one. Performance monitoring and incident management form the classic DevOps feedback loop that most IT organizations already recognize. Potential problems such as memory leaks or latent coding issues will emerge in production, and operations must report each one to development as quickly as possible, framing every incident in terms of its business impact.

End users are also an important feedback source. They encounter and report issues in real-world conditions, but they also identify practical improvements and potential new functionality that would benefit their workflows—and, by extension, the business. Their input should be captured and routed back into the development backlog with the same priority discipline applied to all other feedback.

These feedback loops must be low-friction for every participant. When they are, they naturally push developers toward a continuous development model and operations toward continuous delivery of incremental functionality—both hallmarks of a mature DevOps practice.

Tools That Support a BizDevOps Feedback Model

Each group in the BizDevOps feedback loop depends on tooling to do its job. The goal is to connect those tools into a coherent platform that provides end-to-end visibility and orchestration.

Pipeline Orchestration and Dashboards

Dashboards and pipeline orchestration tools give all stakeholders a shared view of where work stands and where feedback is needed. Products from vendors such as HashiCorp and Electric Cloud (now CloudBees CD) have historically addressed this layer. Visibility across the entire delivery pipeline is a prerequisite for meaningful cross-functional feedback.

Monitoring

Monitoring must cover both low-level technical metrics (CPU, memory, latency, error rates) and higher-level system health. Tools from vendors such as BMC Software, IBM, and SolarWinds address different layers of this monitoring stack. Continuous integration and delivery platforms such as Jenkins—and its enterprise distribution from CloudBees—manage the broader pipeline process and can surface build and deployment health to all stakeholders.

Issue Reporting and Knowledge Management

The final link in the loop is structured issue reporting and resolution—effectively the help desk and a shared knowledge repository. Help desk platforms such as ServiceNow and BMC Helix (formerly BMC Remedy) can simplify this step, ensuring that every reported issue is captured, prioritized by business impact, and routed to the right team.

The Business Comes First

IT does not exist to solve technical problems for their own sake. It exists to support and facilitate the business. Business revenue funds the developers, testers, and operations staff, as well as the physical and cloud infrastructure they rely on. Every team in the feedback loop—development, QA, operations, and business leadership—must keep that reality in mind.

A BizDevOps feedback model makes this alignment explicit and structural rather than aspirational. When business leaders are active participants at every stage of the loop—not just sponsors who see a demo at the end—DevOps delivers on its promise of faster, more reliable software that actually moves the business forward.

This article is based on analysis originally published on TechTarget.

But speed of delivery, while important, is not the whole story. The real measure of a software project is whether it delivers genuine business value. And on that measure, the industry has a troubling track record.

The Business–IT Alignment Problem

New application development has a long history of project failure or costly rework. Analyst estimates of IT project failure rates vary, but figures ranging from 30% to nearly 50% are commonly cited in industry research. Even projects that technically succeed often require significant revision before they can be considered fit for deployment.

A consistent root cause across failed projects is misalignment between what the business actually needed and what the development team delivered. This misalignment typically stems from poorly defined requirements and insufficient communication between developers, end users, and other business stakeholders throughout the project lifecycle — not just at the requirements-gathering stage.

A lack of ongoing collaboration between IT and the business is widely recognised as one of the primary obstacles to successful digital initiatives. Addressing this gap is the core motivation behind an emerging practice called BizDevOps.

What Is BizDevOps?

BizDevOps extends the DevOps model by explicitly including business teams (Biz) as active, continuous participants alongside development and operations. Rather than treating the business as a one-time source of requirements at the start of a project, BizDevOps integrates business stakeholders into feedback loops that run throughout the entire application lifecycle — from initial conception through release and ongoing iteration.

The goal is not simply a faster or more efficient outcome, but a genuinely successful one from a business value perspective. BizDevOps asks teams to optimise for business outcomes, not just deployment frequency.

The Role of Low-Code Platforms in BizDevOps

One practical enabler of BizDevOps is the low-code development platform. Low-code platforms use visual, model-driven techniques to define an application’s user interface, data model, and business logic. Because these visual models are accessible to non-engineers, they create a shared language between business stakeholders and development teams.

This shared representation unlocks several collaboration benefits:

• Real-time co-design: A developer can sit with an end user, review workflow visually, validate assumptions, and iterate on functionality in the same session — without a translation layer of technical jargon.
• Instant preview and feedback: Many low-code platforms allow apps to be previewed immediately, enabling developers to make changes in real time based on user feedback rather than waiting for formal review cycles.
• Structured in-app feedback: Users can submit feedback — categorised as ideas, bugs, or enhancement requests — directly within the application. Feedback can include screenshots and metadata that pinpoint the exact element requiring attention, making it immediately actionable for the product owner.
• Cross-functional issue resolution: When a DevOps engineer identifies a production issue, they can work jointly with the developer and business stakeholder to implement a fix that balances technical constraints and business priorities — rather than resolving it purely as a technical problem.

Addressing the “Low Control” Concern

A common objection to low-code platforms — usually from engineers who haven’t used them — is that high productivity must come at the cost of control and customisation. This is a false trade-off. Modern low-code platforms are designed to support both high productivity and high control, including the ability to extend with custom code, integrate with existing systems, and enforce enterprise-grade governance and security policies. The abstraction layer accelerates common development tasks; it does not remove engineering rigour.

Getting Started with BizDevOps

Like DevOps itself, BizDevOps is not a tool you install — it is a practice that requires changes to people, process, and culture. The most effective way to adopt it is incrementally:

1. Start small: Pair a business-oriented developer with a technically minded business stakeholder. Use a low-code platform to build a small, low-risk application together. Focus on establishing the collaboration habit, not on the complexity of the application.
2. Build an innovation group: Grow this pairing to a small team of three to five people and tackle slightly more complex applications. Celebrate and document successful outcomes to build internal momentum and demonstrate the model’s value.
3. Formalise the process: Once the approach is proven at small scale, define the team structure, collaboration cadences, tooling choices, and feedback mechanisms more formally. Establish clear roles for business stakeholders within sprints and release cycles.
4. Scale deliberately: Plan how to extend BizDevOps practices across a broader portfolio of applications, including customer-facing portals, mobile apps, and internal automation initiatives.

The Business Case for BizDevOps

DevOps solved the friction between development and operations. BizDevOps solves the deeper friction between technology execution and business intent. When both problems are addressed together, teams can move fast and build the right things — reducing wasted effort, lowering rework rates, and increasing the proportion of projects that deliver measurable business outcomes.

The cultural shift required is real, but the payoff is significant: development teams that are genuinely aligned with business objectives are better positioned to build competitive products, automate operations intelligently, and respond to change without losing sight of why they are building in the first place.

This article is based on a piece originally published at information-age.com.

Because DevOps has no single formal framework, the definition of progress can differ between organizations. That said, a core set of metrics and key performance indicators (KPIs) applies broadly across DevOps implementations. Tracking these consistently gives teams an objective basis for continuous improvement conversations.

Why DevOps Metrics Matter

Effective measurement and monitoring are the foundation of a productive DevOps program. Metrics serve three practical purposes:

• Visibility: They expose how processes and pipelines actually behave, not how teams assume they behave.
• Accountability: Shared, objective numbers reduce finger-pointing between development, operations, and security teams.
• Direction: Trend data reveals whether changes to process, tooling, or team structure are having the intended effect.

The nine metrics below cover the full software delivery lifecycle—from code commit to production performance—and are commonly cited in DevOps literature as the most actionable starting points.

1. Deployment Frequency

Deployment frequency measures how often code is released to production. It is a direct indicator of how quickly new features, bug fixes, and improvements reach end users. A healthy DevOps pipeline should show a stable or increasing deployment frequency over time.

A sudden drop or erratic trend is a warning sign. It typically points to a bottleneck somewhere in the pipeline—slow code reviews, fragile automated tests, manual approval gates, or inadequate test coverage that forces teams to batch changes rather than ship incrementally.

2. Change Lead Time

Change lead time measures the elapsed time from when a change—such as a bug fix or new feature—is first committed to when it reaches production. This metric captures the full journey through code review, testing, staging, and release approval.

Long lead times usually indicate process inefficiency: manual handoffs, environment provisioning delays, or approval workflows that do not scale. Use this metric as a starting point to map your pipeline and identify which stages introduce the most delay. Reducing lead time directly improves an organization’s ability to respond to user feedback and market conditions.

3. Change Success Rate (and Change Failure Rate)

Shipping fast is only valuable if changes land correctly. The change failure rate measures the percentage of production deployments that result in a degraded service, rollback, or emergency fix. Conversely, the change success rate is the complement: the percentage of deployments that complete without incident.

A high change failure rate degrades end-user experience and consumes engineering capacity on reactive work—troubleshooting and hotfixes—rather than planned improvements. Teams should instrument their CI/CD pipelines to automatically tag deployments as successful or failed based on defined criteria such as error rate thresholds, rollback events, or incident ticket creation.

4. Mean Time to Detection (MTTD)

Mean time to detection measures how long it takes to identify that a problem exists after it has occurred. A low change failure rate is less meaningful if problems go unnoticed for days or weeks. For example, an MTTD of thirty days means an issue causing elevated failure rates could persist for a full month before the team is even aware of it.

MTTD should decrease over time as observability practices mature—better logging, distributed tracing, and alerting all contribute to faster detection. A rising MTTD is also a security concern: the longer an attacker or a vulnerability goes undetected, the greater the potential blast radius.

5. Mean Time to Recovery (MTTR)

Mean time to recovery measures how long it takes to restore service after a failure is detected. MTTR should be kept as low as possible. DevOps organizations reduce MTTR by favouring frequent, small, incremental releases: when a problem occurs in a small change, isolating its root cause is far simpler than debugging a large, complex release bundle.

Invest in runbooks, automated rollback mechanisms, and feature flags to reduce recovery time. Teams that can recover quickly from failures build resilience into their systems and reduce the pressure that discourages frequent deployments.

6. Feature Prioritization and Utilization

Engineering effort spent on features that users do not adopt is waste. Feature utilization metrics—such as click-through rates, feature activation rates, or session depth—reveal whether delivered work actually provides value to users.

If feature usage is low or declining, the team should revisit how requirements are gathered and prioritized. Closing the feedback loop between users, product management, and engineering is central to the BizDevOps approach. Tight feedback loops allow teams to iterate quickly toward features that genuinely meet user demand.

7. Rate of Security Test Passes

Security testing—including static analysis (SAST), dependency scanning, and dynamic vulnerability scanning—is often an afterthought in release pipelines. Integrating security checks into the CI/CD pipeline and tracking the pass rate over time is a core practice of DevSecOps.

A consistent pattern of failed security scans indicates that insecure coding practices or vulnerable dependencies are entering the codebase upstream. Catching these failures at build time is far less costly than discovering them in production. Monitoring this metric encourages teams to treat security as a shared responsibility rather than a gate managed solely by a separate security team.

8. Service Availability

Service availability—commonly expressed as a percentage of uptime over a given period—is a foundational SRE and DevOps metric. It reflects the reliability that end users and business stakeholders experience. Many organizations encode availability targets into service-level agreements (SLAs) or service-level objectives (SLOs), with common targets ranging from 99.9% to 99.999% depending on the criticality of the service.

Track availability continuously and correlate dips with deployment events, infrastructure changes, or traffic patterns. Availability data is most useful when it drives engineering decisions—for example, scheduling high-risk maintenance during low-traffic windows or triggering automatic failover when thresholds are breached.

9. Application Performance

Application performance metrics—CPU utilization, memory consumption, disk I/O, network latency, and response time—provide visibility into how the infrastructure layer behaves under real-world load. An unexpected surge in users can expose under-provisioned resources or architectural bottlenecks.

Equally important: performance degradation without a corresponding increase in traffic often signals a code regression introduced by a recent deployment. Correlating performance trends with deployment events makes it straightforward to identify whether a new release is responsible. Continuous performance monitoring—rather than periodic manual reviews—is essential for maintaining a good end-user experience at scale.

Putting the Metrics Together

No single metric tells the full story. A team with a high deployment frequency and a high change failure rate is not actually delivering value faster—it is delivering instability faster. The nine metrics above are most powerful when viewed together as a system:

• Speed indicators: Deployment frequency, change lead time
• Quality indicators: Change success/failure rate, rate of security test passes
• Resilience indicators: MTTD, MTTR, service availability
• Value indicators: Feature utilization
• Infrastructure health indicators: Application performance

Start by establishing baselines for each metric before making process changes. Then track trends over time—improvement is relative to your own starting point, not an industry benchmark. Review these metrics regularly in retrospectives to drive concrete, data-informed decisions about where to invest next.

Original topic sourced from searchitoperations.techtarget.com.

It’s easy to think every organization has DevOps on the corporate brain but in reality, interest in — and commitment to — Agile remains high, particularly in the enterprise space. Of course, that doesn’t necessarily make it easy to do. And it doesn’t mean DevOps isn’t having an impact.

With Agile2017 less than a month away I interviewed AgileCraft CEO Steve Elliott about the company’s 10X product release and the ongoing efforts enterprises are making to be more Agile/agile, in all senses of the word. Elliott’s seeing strong demand for a way to tie Agile efforts in to the business side, something the new 10X is designed to help with. But here’s what struck me as really interesting: in a weird way, what large enterprises are looking for sounds a lot like what some would call BizDevOps, or DevOps 2.0. It’s the idea that the business side, developers and operations are all working together with biz integrally involved in every step of the process up to and including setting the agenda.

Here’s how Elliott explains it: The key is to get developers to understand why they’re building the software they’re building (i.e., understand the business case) and to let the business side know, in a granular way, exactly what works about the software in design and production and what doesn’t. And then replicate that across 20 (or more) Agile teams. AgileCraft’s 10X is designed to tackle that problem from a technology side, but of course there’s the culture shift implied in all of this as well. “I still think the hardest thing for us to build and deliver on is the business agility piece,” he said. “The developers need to know the why, the context is important, and the business side needs to understand everything that’s going on with the technology. The companies that can bring those two sides together are the ones that are going to win.”

Elliott sees his product as a way to marry the speed of DevOps with Agile processes and ensure a communication flow from all sides. So whether it’s SAFe Agile, or BizDevOps, or digital transformation it’s another sign that enterprises are realizing things have to change.

Overview

The editors at SearchSoftwareQuality regularly recognize application integration and DevOps toolchain technologies for their innovation and market impact. Tasktop Integration Hub was their March 2017 Editors’ Choice selection for Innovation — a recognition driven by its ability to replace brittle, hand-crafted point-to-point integrations with a model-based integration layer accessible to both IT and business stakeholders.

The Problem: Point-to-Point Integration Debt

Before adopting Tasktop Integration Hub, many enterprise DevOps teams faced the same painful reality: every time a new tool needed to join the toolchain, someone had to write a custom integration. Mark Wanish, Relationship Technology Director at Teachers Insurance and Annuity Association of America (TIAA) in Charlotte, N.C., described the situation clearly:

“There was too much overhead to innovate, because it took so long to do point-to-point integrations. It got more and more cumbersome and costly.”

— Mark Wanish, Relationship Technology Director, TIAA

Tasktop CEO Mik Kersten framed the broader industry pattern in equally direct terms:

“Everyone’s been making these crazy API integrations, database integrations, basically writing all this spaghetti code to make the tools work together, because the tools were never meant to work together.”

— Mik Kersten, CEO, Tasktop

The result was a toolchain that resisted change: swapping in a new tool meant rewriting integrations, and the cost of that work discouraged experimentation and slowed continuous delivery.

What Tasktop Integration Hub Does

Tasktop Integration Hub addresses toolchain fragmentation through three core capabilities:

• Model-based integration layer: Rather than writing custom code between each pair of tools, Integration Hub uses a shared data model that tools connect to. Adding a new tool means connecting it to the model, not rewriting every existing integration.
• Visual, central user interface: All IT and business stakeholders access a single pane of glass showing the state of the entire DevOps toolchain — no more switching between individual tool dashboards to piece together a picture.
• Value-stream visibility: The product was designed around the full software delivery journey, from early development through code running in production, with the explicit goal of identifying and relieving continuous delivery bottlenecks.

Kersten described the design goal as making the toolchain genuinely modular:

“We looked for every means of relieving bottlenecks in the journey towards continuous delivery. They can experiment with the latest tools, while everything flows across this value stream.”

— Mik Kersten, CEO, Tasktop

Industry Analyst Perspective

IT analyst Theresa Lanowitz, founder of research firm voke inc., described the product as ending a long-standing vendor dependency problem in enterprise toolchains:

“People were always waiting for one particular vendor to create an integration between tool A and tool B. Tasktop’s strong integration layer provides the necessary plumbing — the behind-the-scenes infrastructure — that allows for a lot of connectivity between the disparate types of applications, as well as hand-offs between different groups.”

— Theresa Lanowitz, Founder, voke inc.

This is a significant shift in how enterprises approach toolchain governance: instead of waiting for vendors to build bilateral integrations, teams can adopt a neutral integration layer and manage tool selection independently of integration availability.

Real-World Impact: TIAA’s Experience

After deploying Integration Hub, TIAA automated integrations across its entire DevOps toolchain. Wanish highlighted three concrete improvements:

1. Unified data visibility: “We can see what’s happening in each system without jumping around,” Wanish said. Every team member — engineering and business alike — gets a consistent view of toolchain data without leaving their primary workflow.
2. Reduced cross-team reporting overhead: Previously, business users had to request data extracts from IT staff. “Think of how much pain it is to make reports for other team members. Everyone is crunched for resources. You don’t have time to pull someone off to create a report for another department.” Shared visibility eliminated much of that overhead.
3. Better focus on business value: In Agile and DevOps environments, technology problems account for a small percentage of continuous delivery bottlenecks. “The biggest time-waster is getting everyone on the same page,” Wanish said. A unified toolchain view keeps teams focused on delivery rather than coordination.

Vendor Selection and Partnership

Wanish evaluated multiple automated integration products before selecting Tasktop. Beyond technical capability, the deciding factor was Tasktop’s approach to customer partnership — a hands-on deployment relationship that extended into a long-term commitment. For enterprise teams managing complex, evolving toolchains, that kind of vendor engagement is often as important as the product itself.

Key Takeaways for DevOps Teams

• Point-to-point toolchain integrations accumulate as technical debt and become a barrier to adopting new tools.
• A model-based integration layer decouples tool selection from integration complexity, enabling genuine toolchain modularity.
• Unified visibility across the value stream reduces coordination overhead for both IT and business stakeholders — a frequently underestimated source of continuous delivery delays.
• Vendor partnership quality matters in long-lived enterprise toolchain deployments, not just feature parity.

Original review published March 2017 by SearchSoftwareQuality (TechTarget). This article summarizes and contextualizes that coverage for a DevOps engineering audience.

The Hidden Problem with DevOps-Only Thinking

DevOps has transformed how software teams build, test, and ship software. Faster release cycles, automated pipelines, and continuous feedback loops have made development teams significantly more productive. Yet for many organisations—particularly those investing heavily in mobile application development—speed of delivery has not translated into business success.

The core problem is a dangerous assumption baked into many DevOps implementations: that by shipping faster and monitoring defects and user feedback closely, business value will follow automatically. In practice, it often does not. Releasing a product quickly only accelerates the discovery of a product that was misaligned with business or customer needs from the start.

The missing link is an explicit, traceable connection between the DevOps pipeline and the business initiatives it is supposed to serve. Without that connection, teams optimise for engineering metrics—deployment frequency, mean time to recovery, defect rates—while the business continues to measure success by outcomes such as user adoption, revenue impact, and customer satisfaction.

Why Mobile Apps Illustrate the Gap So Sharply

The mobile application market makes this misalignment especially costly. Users form rapid and lasting opinions about an application after a single poor experience. A slow, buggy, or feature-poor app does not just lose downloads—it can damage the broader corporate brand. Research cited in the original source indicates that a significant proportion of users develop a negative perception of a company’s brand when an app fails to meet their expectations around performance, stability, security, privacy, or compliance.

Unlike web applications, where iterative improvement is relatively invisible, app store ratings are public and persistent. Failure to meet user needs on launch is very difficult to recover from, making upfront alignment between business goals and development priorities essential—not optional.

What Is BizDevOps?

BizDevOps is an extension of the DevOps model that explicitly incorporates business stakeholders, business goals, and measurable business outcomes into the software development lifecycle (SDLC). Where DevOps connects development and operations, BizDevOps extends that connection upstream to include product management, business strategy, compliance, and customer experience functions.

The goal is a closed-loop cycle of continuous innovation in which every feature, user story, and release can be traced directly back to a defined business objective. This makes it possible to measure whether the DevOps pipeline is actually delivering business value—not just working software.

BizDevOps does not replace Agile or DevOps. It extends and operationalises them by adding orchestration and automation to the front end of the SDLC, where business intent is defined.

Extending the DevOps Toolchain: Four Upstream Stages

To implement BizDevOps, organisations need to extend their standard DevOps toolchain with four additional upstream stages:

1. Collaboration

IT and business stakeholders work together at this stage to define business initiatives and strategic roadmaps. The emphasis is on shared ownership of goals rather than handing a specification document from business to engineering.

2. Alignment

Teams agree on a shared model of what must be delivered. Critical business objectives—customer experience improvements, legacy modernisation, regulatory compliance, risk mitigation—are articulated here. Opportunities to share requirements and identify dependencies across initiatives are also surfaced at this stage.

3. Definition

Business initiatives are broken down to the feature and user story level, with explicit traceability back to the business objectives defined during alignment. This is the stage where business intent becomes engineering input.

4. Approval

Stakeholders review and formally approve initiatives before development begins. At this point, development and test artefacts can be automatically generated to initiate downstream DevOps processes, ensuring that what engineering builds matches what the business approved.

Together, these four stages break down the silos between business and IT, enabling teams to deliver solutions driven by validated goals—even as those goals evolve over time.

Key Capabilities to Look for in a BizDevOps Toolchain

BizDevOps depends on tooling that can automate and orchestrate business-level activities alongside the engineering pipeline. When evaluating tools, look for the following capabilities:

• Value stream and process mapping: Visualise current and target-state processes and how they map to higher-level value streams. Critically, these tools should be usable by business stakeholders without requiring technical training.
• Goals and business needs management: Define and track business needs alongside quantitative, measurable outcomes. This information should integrate with value stream mapping to give a unified view of business intent.
• Automatic generation of downstream artefacts: User stories, acceptance criteria, and test cases should be generated automatically from approved business requirements. This reduces the translation overhead between business and engineering and keeps both in sync as requirements change.
• Collaboration and review workflows: In large enterprises, cross-functional collaboration is essential but difficult at scale. Tooling should support asynchronous review, structured input, and approval workflows with a full audit trail of decisions and discussions.
• AI-assisted pattern recognition: An AI layer can analyse requirements flowing through the toolchain, identify recurring patterns, and suggest reusable building blocks. This accelerates delivery, improves consistency, and reduces the risk of compliance gaps.
• Traceability and impact analysis: Every business goal should be traceable through detailed requirements all the way to development tasks and test results. Impact analysis enables teams to understand the downstream consequences of changing a requirement before committing to the change.
• Requirements reuse: Many categories of requirements—security controls, performance standards, regulatory compliance clauses—apply across multiple projects. A reuse library allows organisations to define these once and apply them consistently, reducing rework and improving quality.

Measuring Success by Business Outcomes, Not Vanity Metrics

One of the most important practical shifts that BizDevOps enables is a change in how success is measured. Traditional project delivery celebrates on-time and on-budget completion. DevOps engineering metrics celebrate deployment frequency and low change failure rates. Neither of these directly tells you whether the software is achieving its intended business purpose.

BizDevOps ties measurement to business outcomes: user adoption, customer satisfaction scores, revenue contribution, compliance status, and similar indicators. Because every feature is explicitly traced to a business objective, it becomes possible to assess whether delivering that feature actually moved the target metric—and to feed that information back into future planning.

Practical Steps for Getting Started

1. Audit your current DevOps pipeline and identify where business input enters the process. In most organisations, this happens informally and inconsistently, usually only at the requirements-gathering stage.
2. Map your value streams from business initiative to deployed feature. Look for handoff points where business intent is lost or mistranslated.
3. Establish a shared vocabulary between business and engineering. Business goals should be expressed as measurable outcomes, not feature descriptions.
4. Introduce lightweight collaboration tooling that allows business stakeholders to participate in backlog prioritisation, requirement review, and release approval without needing to learn engineering tools.
5. Implement end-to-end traceability from strategic goal to user story to test result. Even a simple spreadsheet-based approach is better than no traceability at all.
6. Define business outcome metrics upfront for each initiative, and review them as part of your retrospective process.

Conclusion

DevOps is a powerful engineering practice, but engineering excellence alone does not guarantee that software delivers business value. BizDevOps addresses this gap by extending the DevOps model to include business stakeholders, goals, and outcome measurement as first-class citizens of the delivery lifecycle.

For organisations building mobile applications or undergoing broader digital transformation, this alignment is not a luxury—it is a prerequisite for success. Shipping faster only matters if what you are shipping is the right thing. BizDevOps helps ensure that it is.

The first time I heard the word “BizDevOps,” I had one question: How is this development different from earlier efforts to engage business executives in delivering great software?

I was skeptical, but not dismissive. Yes, BizDevOps is a buzzword, but it felt like more than that. I was excited. After all, this buzzword had “biz” in the name. The very emergence of the term was a victory of sorts. This thing we call BizDevOps acknowledges something my colleagues and I have been writing about for a long time: No company can deliver great software without engaging top business executives in the process.

No one developing software today disputes that. And yet, sustaining the engagement of business executives continues to be frustrating for software pros. Countless articles on this site and others chronicle those frustrations. Top managers tout the strategic importance of software to the bottom line, but they remain reluctant to devote full-time product owners to development projects. Another, not atypical example: A mature Agile team, deep into a development project, reached an impasse, where the CEO held one vision and the software pros an altogether different one. Weren’t these problems we solved years ago?

And then there are the software delivery challenges. Companies that made deep commitments to DevOps admit that the cultural differences between development and operations prevent them from delivering better software faster and more frequently. Will the emergence of BizDevOps change all this? Will business, development and operations come together to deliver great software? Has the right time finally arrived?

I posed those questions to Flint Brenton, CEO of South San Francisco-based CollabNet, which sells software development tools and services, and operating partner at the private equity firm Vector Capital. “What is the biggest hurdle to making BizDevOps happen?” I asked him. “It’s hard to change human behavior,” he said.

Here are some highlights of my recent conversation with Brenton.

Agile paved way for BizDevOps

The widespread use of Agile techniques is driving the move to BizDevOps. In spite of recent criticism, “Agile remains the pre-eminent means of new development and has created a need for speed,” Brenton said. Put another way, business executives share the expectation that software must be developed and delivered faster and more efficiently than it is now, and that sets the stage for BizDevOps adoption.

BizDevOps: Why now?

But the biggest reason why BizDevOps is happening now is that technology is capable of driving business outcomes in ways that weren’t possible in the past, Brenton said. “The primary way to deliver that value is through software.” That idea has been around for awhile and, more recently, the concept has taken hold. “The whole marketplace has evolved to the point where most enterprises are now software companies,” he said, referring to businesses that don’t sell software, per se.

Brenton’s definition of BizDevOps illustrates his point: “BizDevOps is the ability to take an idea conceived by the business, create value from that idea in software and deploy it so customers quickly realize the value of what was conceived.”

BizDevOps: The people piece

Getting management and employees to embrace the concept of BizDevOps is one thing. But how you get them to change their behavior to support the effort is the million-dollar question, Brenton said. “How do I get my company to change, when we have been doing it one way for many years?”

One widely understood way to change the culture is to change the people, he said. “The culture has to evolve to support the digitization [that BizDevOps depends on],” he said. Obviously, you can’t change everybody, so hire people who embrace digitization. “They’re young, they’re just out of college.”

He’s not suggesting all hires must be young to embrace new ways of working. “What we’re experiencing now is a once-in-a-generation change,” he said. “You can learn it, internalize it and reinvent yourself. It’s a decision we can all make.”