our blog

Is Agile Broken? (And How to Fix It)

Is Agile broken? (and how to fix it)

Agile has revolutionised the way teams build and deliver digital products, allowing for flexibility, iteration and continuous improvement. It enables rapid prototyping, faster decision making and the development of MVPs that help validate ideas before full-scale implementation. Done right, it’s a powerful methodology that helps teams adapt and refine their approach as they move towards a clear goal.

But somewhere along the way, Agile has, in some cases, drifted from its original intent - misused as a reason to avoid commitments rather than a tool to achieve better outcomes. The original Agile Manifesto’s emphasis on “individuals and interactions over processes and tools” has, in practice, been inverted. A key challenge is the lack of appropriate skills needed for seamless adoption, with 42% of respondents in Parabol's Agile survey citing this as the main impediment to successfully implementing Agile practices.

Where Agile goes wrong

For many, Agile has become an end in itself rather than a means to deliver value. Instead of driving focused progress, it’s sometimes unintentionally applied in a way that leads to a lack of accountability, shifting priorities without clear reasoning or avoiding long-term planning altogether. This isn’t a flaw in Agile itself, but rather in how it's applied.

A key problem is often the absence of a North Star - a clear direction and commitment to an outcome. Agile should help teams iterate towards a defined goal, not serve as a justification for constant changes that fail to build on previous iterations or drive tangible progress. Without a guiding objective, sprints become cycles of work for work’s sake rather than meaningful progress.

Fixing Agile: the need for accountability and direction

So how do we make Agile work the way it was intended?

Commit to outcomes, not just process - Agile is about iteration, but those iterations should drive towards something. Teams need to balance adaptability with a clear end goal, ensuring that each sprint contributes to a meaningful outcome.

Define a ‘North Star’ - Agile doesn’t mean avoiding long-term planning. Having a clear strategic objective keeps the process focused and prevents teams from drifting aimlessly.

Accountability matters - Agile thrives when teams own their work, take responsibility for their commitments and maintain visibility on progress. Transparency in goals and roadmaps ensures that agility doesn’t turn into chaos.

Agile is a framework, not a shortcut - The best Agile teams understand that structure is still necessary. Timelines, deliverables and priorities must be clear, even if they evolve over time.

Agile, done right

Agile isn’t broken - it’s just often misinterpreted. When used properly, it remains one of the most effective ways to build and refine digital products. But for it to truly work, organisations need to embrace both flexibility and commitment, iteration and accountability, adaptability and direction.

Agile is a tool for delivering outcomes - tangible improvements, validated learnings and meaningful progress.

spread the word, spread the word, spread the word, spread the word,
spread the word, spread the word, spread the word, spread the word,
Diagram of multiple AI agents handling tasks across teams with human oversight
AI

How Multiple AI Agents Work Together in a Business

AI agent monitoring workflow activity with human oversight dashboard
AI

Running Agentic AI Safely at Scale

AI agent analysing business performance data while leadership reviews measurable ROI metrics on a digital dashboard
AI

When Does Agentic AI Become Commercially Meaningful?

AI agent consolidating updates across teams while humans review insights in a digital platform
AI

Designing Agentic AI for Multi-Team Collaboration

Illustration of AI agent managing dashboard data while humans review insights
AI

How to Integrate Agentic AI into Your Digital Platform

How Multiple AI Agents Work Together in a Business

Diagram of multiple AI agents handling tasks across teams with human oversight
AI

How Multiple AI Agents Work Together in a Business

Running Agentic AI Safely at Scale

AI agent monitoring workflow activity with human oversight dashboard
AI

Running Agentic AI Safely at Scale

When Does Agentic AI Become Commercially Meaningful?

AI agent analysing business performance data while leadership reviews measurable ROI metrics on a digital dashboard
AI

When Does Agentic AI Become Commercially Meaningful?

Designing Agentic AI for Multi-Team Collaboration

AI agent consolidating updates across teams while humans review insights in a digital platform
AI

Designing Agentic AI for Multi-Team Collaboration

How to Integrate Agentic AI into Your Digital Platform

Illustration of AI agent managing dashboard data while humans review insights
AI

How to Integrate Agentic AI into Your Digital Platform

How Multiple AI Agents Work Together in a Business

Diagram of multiple AI agents handling tasks across teams with human oversight

Running Agentic AI Safely at Scale

AI agent monitoring workflow activity with human oversight dashboard

When Does Agentic AI Become Commercially Meaningful?

AI agent analysing business performance data while leadership reviews measurable ROI metrics on a digital dashboard

Designing Agentic AI for Multi-Team Collaboration

AI agent consolidating updates across teams while humans review insights in a digital platform

How to Integrate Agentic AI into Your Digital Platform

Illustration of AI agent managing dashboard data while humans review insights