Category: Agile

11 de July de 2025 Agile

📌 Agile Amnesia: When Teams Forget Why They Started

🎬 Introduction

Sprint. Review. Retro. Repeat.
Another cycle. Another iteration.
But something’s missing.

In many “agile” teams, a strange kind of collective amnesia sets in.
The ceremonies remain. The tools are used.
But the why behind it all gets buried under velocity charts and Jira tickets.

This is what I call Agile Amnesia:
A silent drift from purpose, disguised as high performance.

🧠 What it looks like

  • Teams focused on delivery, not value
  • Dailies become status updates, not collaboration boosters
  • Retros become rituals, not reflection spaces
  • The product backlog grows, but the vision blurs

They are doing Agile.
But they’ve stopped being agile.

🧩 Real case

At a SaaS company, a product team had one of the highest throughput scores in the organization.
But customer satisfaction had dropped 22% over the last quarter.

Why?
They were shipping more features, faster than ever—
But no one had challenged why they were building them.

After interviewing team members, a clear pattern emerged:

“We’re not sure who we’re building for anymore.”
“We just focus on hitting sprint goals.”
“The vision used to excite us. Now it’s just tasks.”

Agile had become a process.
Not a mindset.

🔍 A metaphor: the agile treadmill

Imagine getting on a treadmill to train for a mountain hike.
You walk, you run, you sweat.
But if you never get off the treadmill, you’re just moving without direction.

That’s Agile Amnesia: a team in motion, but going nowhere meaningful.

🧭 Four signals of Agile Amnesia

  1. No one questions the backlog anymore
    The list is taken as gospel, not as hypothesis.
  2. Velocity is celebrated more than impact
    “We closed 28 story points!” But… did they matter?
  3. Retros lose soul
    If people say “same as last time,” it’s not reflection—it’s fatigue.
  4. Customers vanish from conversations
    If the only mention of the user is during sprint review, disconnection is guaranteed.

🛠️ How to revive the “why”

  1. Reground every sprint in impact
    Start planning with: “What problem are we solving and for whom?”
  2. Bring real stories into the room
    Invite a customer. Read a review. Show a case. Make it human.
  3. Redesign retros as catalysts, not complaints
    Use them to imagine, reconnect, realign—not just fix annoyances.
  4. Kill zombie rituals
    If a ceremony feels dead, stop. Reframe. Reboot. Or delete.

🚫 What to avoid

  • Obsessing over tools
    Tools are containers. Culture is what fills them.
  • Agile theatre
    Stand-ups and Kanbans look nice. But if there’s no ownership or learning… it’s just performance.
  • Pretending “done” means “useful”
    Something can be shipped and still be irrelevant.

✨ Final thought

Agile isn’t a checklist.
It’s a constant act of remembering:
Who are we serving?
Why are we building?
What do we want to learn?

A team that forgets its “why” becomes a team efficient at the wrong things.

3 de March de 2025 Agile

Innovation Waste: The Silent Killer of Corporate Innovation 🚨

 

In the relentless race for innovation, companies are pouring millions into groundbreaking ideas, next-gen technologies, and disruptive solutions. But here’s the question no one wants to ask: How much of that effort is actually paying off?

The answer is unsettling. A growing number of executives are now obsessing over a critical yet often overlooked KPI: Innovation Waste.

What Is Innovation Waste?

Innovation Waste measures the percentage of resources and efforts invested in innovation that never translate into real value. It includes:

❌ Brilliant ideas that never get executed.
❌ Projects that die before launch due to shifting market conditions.
❌ Technologies rendered obsolete before they even reach customers.
❌ R&D efforts that fail to scale or integrate into the business.

This isn’t just about failed innovation—it’s about systemic inefficiencies in how companies innovate. While some firms choose to ignore it, others are realizing that tracking this metric can be the difference between leading the market or burning millions on wasted potential.

Why Is This Happening?

In today’s fast-moving tech landscape, the risk of innovation becoming irrelevant before it even launches has never been higher.

🚀 AI Agents, LLMs, DeepSeek, and other breakthroughs are emerging at a dizzying pace.
💡 Big players like Microsoft (Copilot), Databricks, Snowflake, OpenAI are redefining the market almost overnight.
⏳ Companies spend years developing a product, only to find a more efficient solution hitting the market just before their launch.

The faster technology evolves, the higher the risk of Innovation Waste.

The 6 Deadly Traps of Innovation Waste 🔥

If you want to avoid the innovation graveyard, watch out for these common mistakes:

1️⃣ Never moving from idea to execution. Endless brainstorming with no action is the ultimate waste.
2️⃣ Killing projects too soon. Innovation requires patience—some ideas need time to mature.
3️⃣ Stopping too late. Not recognizing when an idea is doomed leads to unnecessary losses.
4️⃣ Jumping from failure to failure without learning. Reflection is key before launching the next big thing.
5️⃣ Choosing innovation based on urgency, not strategy. Rushing into trends without a clear roadmap is a recipe for disaster.
6️⃣ Scaling too little or too late. When something works, companies often hesitate instead of doubling down.

How to Reduce Innovation Waste?

✔ Adopt a “fail fast, learn faster” approach. Not all failures are bad—what matters is how quickly you pivot.
✔ Prioritize adaptability over perfection. The best innovation strategy isn’t about predicting the future, but responding to it.
✔ Track Innovation Waste as a KPI. Just like financial waste, measuring and reducing it can drive long-term success.
✔ Balance speed with validation. Being first to market is useless if your solution isn’t sustainable.

The Bottom Line

Innovation isn’t just about creating—it’s about delivering real value before the world moves on. Measuring Innovation Waste can help companies identify leaks in their R&D pipeline, cut unnecessary losses, and stay ahead in an increasingly unpredictable market.

So, here’s the real question: How much of your innovation budget is actually creating value?

🚀 Let’s talk about it. Have you seen Innovation Waste happening in your industry? How do you manage it?

17 de February de 2025 Agile, AI

The Perfect Match: AI and Agile Methodologies in Corporate Training

Corporate training is evolving rapidly, and the combination of Artificial Intelligence (AI) with Agile methodologies is at the forefront of this transformation. Together, they create a powerful framework for delivering personalized, adaptive, and effective learning experiences.

Companies like Spotify and Amazon have successfully integrated AI into their Agile learning strategies, ensuring that training programs are not only dynamic but also aligned with organizational goals.

How AI and Agile work together:

  1. Continuous Improvement: Agile’s iterative process aligns perfectly with AI’s ability to analyze real-time feedback and adjust training content.
  2. Personalization at Scale: AI curates customized learning paths, while Agile ensures these paths remain flexible and adaptable.
  3. Data-Driven Insights: Agile promotes frequent evaluations, and AI provides the data and analytics to inform decisions.

Key benefits of this integration:

  • Enhanced engagement: Employees receive training that feels relevant and impactful.
  • Faster upskilling: Adaptive learning ensures that skills evolve with changing business needs.
  • Improved ROI: Training programs are optimized continuously for better results.

💡 Is your organization ready to embrace the synergy of AI and Agile in training? The future of corporate learning is here!

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