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Copilot Studio without the risk: The IT ops’ guide to AI governance
10 mins read
September 17, 2025

How do we give people access to AI tools without risking data leaks?

Public AI tools risk data leaks and compliance breaches. Copilot Studio runs inside your Microsoft 365 tenant, so with the right governance you can enable AI securely and confidently.

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TL;DR:  

Public AI tools like ChatGPT create security and compliance risks because you can’t control where sensitive data goes. Copilot Studio solves this by running inside your Microsoft 365 tenant, inheriting existing permissions, enforcing tenant-level data boundaries, and aligning with Microsoft’s Responsible AI standards and residency protections. With proper governance — from data cleanup and Data Loss Prevention to connector control and clear usage policies — you can enable safe, compliant AI adoption that builds trust and empowers employees without risking data leaks or reputational damage.

“How do we give employees access to AI tools without sensitive data leaking to public models?”

It’s the first question IT operations and compliance leaders need to consider when AI adoption comes up — and for good reason. While tools like ChatGPT are powerful, they aren’t built with enterprise governance in mind. As a result, AI usage remains uncontrolled, potentially exposing sensitive information.

The conversation is no longer about if employees will use AI, but how to allow it without risking data loss, non-compliance, or reputational damage.

In this post, we explore how you can deploy Copilot Studio securely to give teams the AI capabilities they want while keeping data firmly within organisational boundaries.

The governance challenge

Most free, public AI tools have one major drawback: you can’t control what happens to the data you give them. Paste in a contract or an HR document, and it could be ingested into a public model with no way to retract it.

For IT leaders, that’s an impossible position:

  • Block access entirely and watch shadow AI usage grow.
  • Allow access and risk sensitive data leaving your control.

What you need is a way to enable AI while ensuring all information stays securely within the organisation’s boundaries.

How Copilot Studio handles security and data

Copilot Studio is designed to work with — not around — your existing Microsoft 365 security model. That means:

  • Inherited permissions: A Copilot agent can only retrieve SharePoint or OneDrive files the user already has access to. If permissions are denied, the agent can’t access the file. No separate AI-specific access setup is required.
  • Tenant-level data boundaries: All processing happens within Microsoft’s secure infrastructure, backed by Azure OpenAI. There’s no public ChatGPT endpoint — data stays within your private tenant.
  • Responsible AI principles: Microsoft applies its Responsible AI Standard, ensuring AI is deployed safely, fairly, and transparently.

For European customers, Copilot Studio also aligns with the EU Data Boundary commitment, keeping data processing inside the EU wherever possible. Similar residency protections apply globally under Microsoft’s Advanced Data Residency and Multi-Geo capabilities.

Governance in practice

Deploying Copilot Studio securely takes more than a few clicks. Successful rollouts include:

  1. Data readiness

Many organisations have poor data hygiene — redundant, outdated, or wrongly shared files. Before enabling Copilot, clean up data stores, remove unnecessary content, and confirm access rights. If Copilot can access it, so can employees with matching permissions.

  1. Data loss prevention

Use Microsoft’s built-in Data Loss Prevention (DLP) capabilities to stop Copilot from accessing or exposing sensitive information. At the Power Platform level (which covers Copilot Studio), DLP policies focus on controlling connectors; for example, blocking connectors that could pull data from unapproved systems or send it outside your governance boundary.

Beyond Copilot Studio, Microsoft Purview DLP offers a broader safety net. It protects sensitive data across Microsoft 365 apps (Word, Excel, PowerPoint), SharePoint, Teams, OneDrive, Windows endpoints, and even some non-Microsoft cloud services.  

By combining connector-level controls with Purview’s sensitivity labels and classification policies, you can flag high-risk content such as medical records or salary data, and prevent it from being surfaced by Copilot.

Configure DLP policies to prevent Copilot from retrieving information from sensitive or confidential files, such as medical records or salary data. Use sensitivity labels to flag and restrict high-risk content.

  1. Connector control

Remove unnecessary connectors to prevent Copilot from accessing data outside your governance framework.

  1. Clear internal guidance

Publish company-specific usage rules. Load the documentation into Copilot Studio so employees can query an internal knowledge base before asking questions that rely on external or unverified sources.

  1. Escalation paths

For complex or sensitive questions, integrate Copilot Studio with ticketing systems or expert routing — for example, automatically opening an omnichannel support case.

Building trust in AI adoption

Security isn’t the only barrier to AI adoption — trust plays a critical role too. Employees, legal teams, and executives need confidence that AI tools won’t create new liabilities. Microsoft has taken several steps to address these concerns:

  • Copyright protection: Under its Copilot Copyright Commitment, Microsoft stands behind customers if AI-generated output triggers third-party copyright claims, covering legal defence and costs.
  • Compliance leadership: Microsoft has been proactive in aligning AI services with global and regional legislation, from the EU Data Boundary to sector-specific regulations.
  • Responsible use by design: The company’s Responsible AI principles ensure AI is developed and deployed with fairness, accountability, transparency, and privacy as core requirements.

For IT leaders, this means adopting Copilot Studio isn’t just a technical exercise but an opportunity to establish governance, legal assurance, and ethical use standards that will support AI adoption for years to come.

Why AI governance for Copilot Studio can’t wait

Microsoft has been proactive on AI legislation and compliance since the start, with explicit commitments on data protection and even AI copyright indemnification. But no matter how robust the vendor’s safeguards, governance still depends on your internal policies and configuration.

The earlier you establish these guardrails, the sooner you can empower teams to innovate without risk — and avoid retrofitting controls after a security incident.

Need help? Book your free readiness audit to see exactly where your governance gaps are and how to fix them before rollout so you can deploy Copilot Studio with confidence.

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Optimization from Top to Bottom: How We Structure Backlogs at Visual Labs, Part 1
June 3, 2024
2 min read
Optimization from Top to Bottom: How We Structure Backlogs at Visual Labs, Part 1
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At Visual Labs, we leverage Azure DevOps, a powerhouse tool in software development and project management. It empowers teams to efficiently manage their work from development to release. One critical element that can significantly influence project success is the structure of the backlog. A well-organized backlog not only ensures task and requirement transparency but also helps teams set priorities, respond effectively to changes, and closely monitor project progress.

In our upcoming blog series, we will showcase the backlog structures we use, highlight the differences between them, and discuss the typical work items in these backlogs.

In this blog post, we’ll delve into how we create and efficiently manage an Azure DevOps backlog. We’ll explore practices and tips to help teams maximize their backlog’s potential. We’ll cover how to handle requirements and tasks, and how to ensure the backlog reflects the current goals and challenges of the project. Join us to discover how we enhance project management efficiency with Azure DevOps!

At Visual Labs, we distinguish between two different backlog levels:

1. Delivery Backlog:

This type of backlog contains tasks related to project or product development. It includes software development, implementing new features, bug fixes, user stories related to customer needs, and any other activities that directly impact the product or project’s output. The goal is to support the continuous development and delivery of the product or service. Tasks in this backlog typically have higher priority as they directly contribute to customer value.

2. Admin Backlog:

The admin backlog encompasses tasks related to the project’s or team’s administrative, organizational, or internal operations. This includes updating internal documentation, ensuring regulatory compliance, training team members, or any activities that are not directly linked to product or service delivery but are essential for smooth operation. While these tasks might be less urgent or critical from a product perspective, they are vital for maintaining team efficiency and seamless project execution.

Summary:

The delivery backlog focuses on product development and delivery, while the admin backlog handles internal operations and administrative activities. Both are crucial for successful project management and teamwork but concentrate on different aspects.

DOJO
June 2, 2024
3 min read
DOJO
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Background

The forum for operational development at Visual Labs is called Dojo. These sessions are held every Tuesday morning for one and a half hours. Originally launched in January 2023, Dojo was a half-day event held every two weeks and could only be attended in person.Participation in Dojo sessions is optional, although certain colleagues are often expected to attend due to their expertise. The topics of Dojo are determined by quarterly goals, and the exact agenda is set by management. These topics cover a wide range of areas, aiming to contribute to organizational development.

Why is it necessary?

Despite being a small organization, we work in distinctly defined technological areas (ERP, CRM, BI) that often serve the same clients. It is essential to have a common forum where we can gain insights into each other’s work or the company’s operations (e.g., ERP or BI colleagues are welcome at a CRM hackathon). This allows for collective thinking about how Visual Labs can develop as an organization.

Topics Covered So Far

Among others, the following topics have been discussed in Dojo sessions:

  • Using Azure DevOps (see: Optimization from Top to Bottom: How We Structure Backlogs at Visual Labs, Part One)
    • Feature delivery process
    • Managing work items
    • Defining work items
    • Handling statuses
  • Refining financial planning and billing processes
  • Hackathon for improving our internal CRM
  • Brainstorming on the development of our increasingly cramped office
  • Solution-seeking:
    • For technical challenges
    • For broadly defined, exciting client needs
  • Power Platform Starter Kit
    • Launching the PowerPlatform Center of Excellence (CoE) Starter Kit
    • Agile sprint review and planning ceremonies for the Visual Labs enhancement of the PowerPlatform Starter Kit ([[CoE+]]), where we also tested our agile wings 🙂
  • Customer relationship and competency training for POs, conducted by our regular coach, Klára Sugta
  • Knowledge sharing on the following topics:
    • Customer visits
    • Project launches

What Has Dojo Given Us?

Key achievements:

  • Creation of a Dojo Handbook that defines our main processes and operations, which we keep up to date.
  • Further development of the Microsoft-developed Power Platform Center of Excellence Toolkit [[CoE+]], cataloging Azure resources, DevOps projects, and areas that can be assigned to teams and users.
  • Strengthening and integrating the competencies outlined in the Competency Matrix into our daily routines.
  • Introduction of monthly financial planning with weekly tracking.
  • Development of our own CRM system (based on Dynamics 365 Sales and Project Operations, in collaboration with CoE+).

Other Forums for Organizational Development

  • Team Retrospectives
    • While Dojo generally deals with cross-departmental or company-wide topics identified by management, retrospectives at the team level focus on system-level improvements in individual collaboration.
    • In the future, it will be important to create a development backlog (Kaizen) to provide an overarching view of areas needing improvement, to which initiatives can be assigned and receive the necessary buy-in and resources.
  • 1on1s
    • The most straightforward opportunity to foster bottom-up ideas is through 1on1s, where topics can ripple up to management level.

The Future of Dojo

Dojo will continue to be the main forum for organizational development and will remain optional. We aim to facilitate participation in organizational development asynchronously and ensure that more written records of Dojo discussions are kept. Often, colleagues cannot attend sessions on topics they find interesting or do not find it worthwhile to sit through the entire discussion but would find a "tl;dr" version useful.If you want more information about our Dojo sessions or the topics discussed, follow our blog, as new articles on these topics are continuously published. If you have any questions or comments, don't hesitate to contact us!

Dojo
May 22, 2024
3 min read
Dojo
Read more

Background

The forum for operational development at Visual Labs is called Dojo. These sessions are held every Tuesday morning for one and a half hours. Originally launched in January 2023, Dojo was a half-day event held every two weeks and could only be attended in person.

Participation in Dojo sessions is optional, although certain colleagues are often expected to attend due to their expertise. The topics of Dojo are determined by quarterly goals, and the exact agenda is set by management. These topics cover a wide range of areas, aiming to contribute to organizational development.

Why is it necessary?

Despite being a small organization, we work in distinctly defined technological areas (ERP, CRM, BI) that often serve the same clients. It is essential to have a common forum where we can gain insights into each other’s work or the company’s operations (e.g., ERP or BI colleagues are welcome at a CRM hackathon). This allows for collective thinking about how Visual Labs can develop as an organization.

Topics Covered So Far

Among others, the following topics have been discussed in Dojo sessions:

  • Using Azure DevOps (see: Optimization from Top to Bottom: How We Structure Backlogs at Visual Labs, Part One)
    • Feature delivery process
    • Managing work items
    • Defining work items
    • Handling statuses
  • Refining financial planning and billing processes
  • Hackathon for improving our internal CRM
  • Brainstorming on the development of our increasingly cramped office
  • Solution-seeking:
    • For technical challenges
    • For broadly defined, exciting client needs
  • Power Platform Starter Kit
    • Launching the PowerPlatform Center of Excellence (CoE) Starter Kit
    • Agile sprint review and planning ceremonies for the Visual Labs enhancement of the PowerPlatform Starter Kit ([[CoE+]]), where we also tested our agile wings 🙂
  • Customer relationship and competency training for POs, conducted by our regular coach, Klára Sugta
  • Knowledge sharing on the following topics:
    • Customer visits
    • Project launches

What Has Dojo Given Us?

Key achievements:

  • Creation of a Dojo Handbook that defines our main processes and operations, which we keep up to date.
  • Further development of the Microsoft-developed Power Platform Center of Excellence Toolkit [[CoE+]], cataloging Azure resources, DevOps projects, and areas that can be assigned to teams and users.
  • Strengthening and integrating the competencies outlined in the Competency Matrix into our daily routines.
  • Introduction of monthly financial planning with weekly tracking.
  • Development of our own CRM system (based on Dynamics 365 Sales and Project Operations, in collaboration with CoE+).

Other Forums for Organizational Development

  • Team Retrospectives
    • While Dojo generally deals with cross-departmental or company-wide topics identified by management, retrospectives at the team level focus on system-level improvements in individual collaboration.
    • In the future, it will be important to create a development backlog (Kaizen) to provide an overarching view of areas needing improvement, to which initiatives can be assigned and receive the necessary buy-in and resources.
  • 1on1s
    • The most straightforward opportunity to foster bottom-up ideas is through 1on1s, where topics can ripple up to management level.

The Future of Dojo

Dojo will continue to be the main forum for organizational development and will remain optional. We aim to facilitate participation in organizational development asynchronously and ensure that more written records of Dojo discussions are kept. Often, colleagues cannot attend sessions on topics they find interesting or do not find it worthwhile to sit through the entire discussion but would find a “tl;dr” version useful.

If you want more information about our Dojo sessions or the topics discussed, follow our blog, as new articles on these topics are continuously published. If you have any questions or comments, don’t hesitate to contact us!

My Journey with CI/CD in Power BI: A Personal Tale of Transformation Part 2
May 6, 2024
3 min read
My Journey with CI/CD in Power BI: A Personal Tale of Transformation Part 2
Read more

Implementing This Miracle: If I were to start all over again, I'd tell you this:

A) Get cozy with Git, simulate real-world scenarios as a team during a demo session, and document/record everything.

To better prepare for collaborative development, we crafted a scenario in which multiple developers would work simultaneously on the same file, aiming to rehearse a range of actions we had previously encountered. This included creating different measures at the same time and then merging these into a single file, adding, removing, or modifying visuals and integrating those changes, reverting to a previous version to serve as the basis for new features, and managing version transitions between DEV, TEST, and PROD branches. Through this exercise, we sought to simulate and navigate the complexities of real-world collaboration, enhancing our team's ability to handle various project management tasks efficiently.

  1. Commit early and often, and
  2. Treat your commit notes like a diary of your project's life. Writing comprehensive commit descriptions will enhance clarity and facilitates easier navigation through the project's history for both you and your teammates.
  3. Branch Carefully! Always verify you're working on the correct branch to avoid unintended changes in the wrong areas of your project.
  4. And never forget the power of communication. Despite the technical tools at your disposal, effective teamwork hinges on constant communication to ensure alignment and collaboration.

These practices didn't just make our projects better; they made us better developers and teammates.

B) Bumps Along the Way: Sure, we faced our fair share of surprises.

Challenges Encountered Since Adoption:

Despite the myriad benefits, several challenges have emerged since adopting source control in Power BI, particularly given the preview status of this feature. I'm going to highlight the few most common ones.

  1. Custom Visuals Compatibility: Custom visuals used in reports need to be installed separately by each collaborator. Don't forget to let your colleagues know which custom visual you added to your dashboard as its name won't show up only the following error message which is a bit hard to dechypre.
CI/CD

2. Merge Conflicts and Code Loss: Situations have arisen where accepting both changes during a merge resulted in lost code, highlighting the need for careful conflict resolution (screenshot from another blogpost describing the issue).

blogpost

3. File Opening Issues After Merge: Conflicts within the data model, such as incorrect relationship settings, can prevent files from opening, necessitating reversion to previous versions.

unable to open

4. Infinite Semantic Model Refresh Loops in PBI Desktop: Unexplained delays in model refreshes post-merge, extending for hours, indicate potential issues with large semantic models.

+1) Data is not stored in repos: It’s good to keep in mind that data is not stored in the Repo, only semantic model and report related code is stored, you still need to refresh your data on Power BI Service.

Conclusion: This journey of integrating CI/CD and source control into our Power BI workflows has been one of the most rewarding experiences of my professional life. It wasn’t just about making our projects more efficient; it was about transforming our team into a more cohesive, capable, and confident unit. As we look to the future, I’m excited about the possibilities that lie ahead, ready to tackle whatever comes our way with a smile and a git commit.

My Journey with CI/CD in Power BI: A Personal Tale of Transformation Part 1
April 23, 2024
3 min read
My Journey with CI/CD in Power BI: A Personal Tale of Transformation Part 1
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Hello, friends! Today, I'm diving deep into my own adventure with Continuous Integration (CI) and Continuous Deployment (CD) in the realm of Power BI—a journey marked by trials, triumphs, and a lot of learning along the way. For so long, CI/CD in Power BI felt like trying to fit a square peg in a round hole. With a mix of third-party tools and makeshift solutions, my team and I navigated through a maze of compliance and administrative hurdles, often feeling lost in a sea of approvals and support tickets to try introduce a potential CI/CD solution or workaround. Then came May 2023, and with it, a beacon of hope: Power BI project files. This was more than just a feature; it was a revolution that promised to redefine how we approached our projects.

The Before Times: Rewind to before this pivotal change. My team, like many others working in data analytics within complex, multinational landscapes, struggled immensely with the lack of source control in Power BI. Our attempts at version control felt archaic—think "save as" with date and version stamps—and far from agile (shared folders on SharePoints or OneDrive). We were a team longing for simplicity and efficiency but found ourselves bogged down by the limitations of our tools.

A Game Changer: Power BI Project Files: Then, the game changed. The introduction of project files (.PBIP) wasn't just an update; it was a lifeline. This wasn't about saving our projects as mere files; it was about evolving them into living, breathing entities, organized within folders that spoke the language of our data stories through JSON (not ideal, but still an enormous improvement) .

Getting Our Hands Dirty: Embracing this new world, we ventured into the depths of Git with VS Code and Azure DevOps.

Each Power BI file became its own project, its own repository. This structure, while logical, required us to rewire our brains, to rethink our approach to collaboration and version control. Our workflow transformed, becoming more streamlined yet demanding a new level of diligence and precision.

The Rocky Road: It wasn't all smooth sailing. Adopting Power BI project files and integrating Git introduced us to a host of challenges. Merge conflicts became our nemesis, and the occasional quirks of a preview feature tested our patience. But with every stumble, our resolve grew stronger. The benefits—oh, the benefits!—far outweighed the occasional headaches. We were building something resilient, transparent, and infinitely more manageable.

Looking Ahead with TMDL: The next big step ahead is the introduction of TMDL. Storing your semantic model in TMDL (preview feature since the March 2024 update) transforms the code into a format that's not only human-readable but also intuitively organized, making every element—be it measures, tables, or columns—distinctly easy to identify in separate blocks. This clarity significantly simplifies the process of resolving merge conflicts and tracking changes, making the whole experience more straightforward.

Looking Ahead with TMDL

Why This Matters: The move to source control in Power BI has been nothing short of transformative. It brought clarity to our development process, made our end products more reliable, and, most importantly, it strengthened our team's bond. We learned to communicate more effectively, to trust in our collective skills, and to embrace the inevitable learning curve together.

To be continued...

How to overcome org-wide writers' block
March 14, 2024
6 min read
How to overcome org-wide writers' block
Read more

Every quarter we have three Objectives that will help us improve as an organisation. This can vary from Software Development practices to improving (or rather: re-hauling) our finance reports, but more will be written on these Objectives later.

This quarter, one of our Objectives is to start and cement having a company-blog. This has been a recurring topic since the beginning of the organisation - although I've consciously put it to rest in the past years as we've been so focused on cementing the core team.

Last year, we started focusing on our marketing efforts and naturally, the topic of the blog has arisen. Initially, I thought that with Judit, our marketing and sales assistant, we can just put our heads together and churn out a bunch of posts, but then realised we need to get the "troops on the ground" to provide inputs - at least the backbone of a post to stand a chance of sounding novel and not just being "yet another corporate blog."

I knew it's not going to be easy to get a bunch of consultants knee-deep in project-work to get their focus and time allocated to writing blogs. What a perfect opportunity to make this a Q1 objective!

A reality check

I naively thought it'd be sufficient to call out the Q1 objective and have a brainstorming session about our social media usage and post ideas and off we go: blog posts will be sprouting left and right.

Six weeks later, the end of the quarter is nearing, and we have 0 posts.

So what can I do to get our smart and eager colleagues to exert discretionary effort to create a blog post - let alone, get into the habit of writing and maintaining a blog.

I resorted to the following basic management (leadership?) tactics in yet another Dojo agenda point. (Dojo: The forum held weekly for the development of our internal operations.)

Start with why

We talked with the team about what's the purpose of writing a company blog and why it matters in the professional services industry:

It's so easy for anyone to say they are experts in a particular topic but what speaks volumes is if we provide insight into our expertise.

Plus, it also makes it possible to create more meaningful "noise" on LinkedIn and social media.

Not the least, we maybe help fellow Power Platformers, consultants and end-users alike by publicly sharing knowledge bites that proved to be useful for us.

Provide context and address concerns

After having talked about the why, I showed an example of what good looks like (eg. https://www.ycombinator.com/blog/how-to-maintain-engineering-velocity-as-you-scale or https://www.faire.com/blog/) and asked the team if they have any questions, concerns.

The main message here was:

don't worry too much, just get started, we are not writing War and Peace here

Make it easy to start

Next, we talked about how we "don't need to start from scratch", a lot of what we do is documenting, so why not use those as a starting point for blog posts.

We have the following areas to go to for inspiration and starting points:

Wiki

Last year we started making good use of our Azure DevOps wiki sites and it's increasingly becoming an internal go-to resource. Why not just use some of the more useful entries to turn them into external-facing material?

Internal Comms

Not as often, but we do rely on written internal comms - such as our strategic goals, one-pager vision statement, competencies. We can turn these into blog posts that talk about us as an organisation, how we work and where we are heading.

Our clients are increasingly looking for "cultural fitness" when selecting a partner, so I'll be happy to share this openly. This may even help with recruitment and on-boarding.

Ways of Working

We are extensively using Azure DevOps, GitHub and generally the whole Microsoft eco-system to manage our work. I appreciate it's not straight-forward to design the toolkit at our disposal in a way that makes it ergonomic for every member of an organisation. We have lots of lessons learned in this place and our current Ways of Working is pretty well documented.

When we built our internal systems, it would have been great to understand like-minded companies' architecture. The toolkit we use definitely shapes us as an organisation (think: socio-technical complex systems), hopefully gives us a competitive edge, but sharing our good (and sometimes not-so-good) practices may benefit others with similar challenges.

Knowledge Sharing Sessions

We regularly hold knowledge sharing sessions, internal demos - lot of which is already documented - with a little effort and obfuscation, these can be easily turned into external-facing materials.

These will provide great insight into what are the areas that interest us and what challenges we face as a team in our projects.

Brainstorm

Prior to the Dojo, I asked that each PO is present or delegates a team member so we have the right coverage. I asked each team to gather post ideas based on the above and take them back to the team and select one which they will work into a full-fledged post in the coming two weeks.

Lead with example

I had to admit, I wasn't comfortable writing blogs myself (I had one attempt when taking a gap-year and travelled to India). Those that worked closely with me, know I'm not much of a writer.

But I had to be the "tip of spear that will break the ice", so here I am writing the inaugural blog post.. :)

Where to next?

Accountability and Follow-up

Hopefully, by now the message has landed with the team that this is something, we'll crack on with and asked the team whether they can get behind this. The jury's still out to see how many posts will be written by the end of the month.

We've put in a check-in for next to see how the teams are progressing with the single selected topic and see if we can help them overcome and doubts or concerns, they may have.

What we didn't do

Carrots or sticks

We quite consciously avoid tying performance evaluation or bonuses against our quarterly objects (very much in line with OKR principles) - hence we will not mandate a blog quota or tie it to any bonuses. I'd much rather have a few of our team members produce quality posts, then have everyone write poor ones out of sheer necessity

Emphasize how writing improves structured thinking and deep understanding

In hindsight, we could have talked about how writing helps improve one's understanding, and this is a great way to deepen one's knowledge.

So you may ask, why blogs? Why not YouTube videos and/or Podcasts? Don't worry, we'll get there eventually :)

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