After working on a number of Dynamics 365 CRM implementations, I started noticing the same patterns coming up again and again. Different clients, different industries, different setups, but a lot of the same challenges underneath it all.
Looking back, there are a few things I genuinely wish I understood earlier in my career, because they would’ve saved a lot of time and a few wrong assumptions along the way.
At the beginning of a project, requirements usually feel fairly clear. You run workshops, you gather everything you can, you document it properly, and you think you’ve got a solid picture of what needs to be built.
But the reality is that requirements always evolve. The moment users see something working, they start to understand their own process better, and that’s when the “can we also…” and “actually, what if…” conversations start happening.
Working with Microsoft Dynamics 365, I’ve learned that this isn’t a problem to avoid, it’s just part of how CRM projects work. You don’t really freeze requirements and walk away. You build based on the best understanding you have at the time, knowing it will evolve once people interact with the system.
What I wish I knew earlier is that expecting change from the start makes everything easier. It stops you from treating the first version of requirements as something fixed, and instead as something you’ll refine as you go.
When you’re building solutions, especially as a consultant, it’s easy to get caught up in doing things “properly” from a technical point of view. Clean structure, good data model, automation where it makes sense, everything nicely put together.
But none of that really matters if users don’t actually use the system.
I’ve seen solutions that were technically solid but barely touched by users because they felt too complex or didn’t fit naturally into their day-to-day work. On the other hand, I’ve also seen simpler solutions that weren’t perfect but were used consistently because they made people’s lives easier.
The difference almost always comes down to whether the system feels natural to use, whether it actually supports the user’s daily tasks, and whether they were involved early enough to feel comfortable with it.
What I wish I knew earlier is that adoption is not something you “add at the end”. It needs to be part of the design from the beginning, otherwise even the best-built system can end up sitting unused.
This is something I’ve definitely learned through experience. When you’re working with a flexible platform, it’s very tempting to customize everything to match every single requirement exactly. You can build plugins, extend logic, and tailor the system heavily so it fits the business perfectly.
But the more you go down that path, the more complexity you introduce, and that complexity doesn’t disappear after go-live.
Heavy customization often leads to harder maintenance, more dependency on specific people who understand the system deeply, and more complications when it comes to upgrades or future changes. What starts as a quick solution to a requirement can slowly turn into technical debt.
With platforms like Microsoft Power Platform, there are often simpler ways to achieve the same outcome using configuration or low-code options, and those tend to be easier to support long term.
What I wish I knew earlier is that flexibility doesn’t mean you should customize everything. The best long-term solutions are usually the ones that stay as close to standard as possible for as long as possible.
No matter how well a CRM system is designed, it only works properly if the data inside it is reliable. This is something that sounds obvious, but in practice it’s often underestimated.
When data quality is poor, reporting becomes unreliable, automation should not break but may break or behaves unexpectedly, and users quickly lose trust in the system. Once that trust is gone, people tend to go back to spreadsheets or offline tracking, which defeats the whole purpose of having a CRM in the first place.
What I’ve also learned is that data quality isn’t something you fix once and forget about. It requires ongoing attention, clear rules, and ownership. If it’s not actively managed, it slowly degrades over time.
What I wish I knew earlier is that data work is not a side task. It’s one of the core parts of any CRM implementation, and it deserves attention from the very beginning.
One of the biggest shifts in mindset for me was realizing that CRM projects are not just technical projects. They are organizational changes.
You can build a very good system, but if people are not prepared for it, understand why it’s happening, or don’t feel supported through the transition, it will struggle regardless of how good the technology is.
Change management is really about communication, training, and ongoing support. It’s about making sure users understand what’s changing, why it’s changing, and how it actually helps them in their day-to-day work. It’s also about being present after go-live, because that’s usually when real feedback starts coming in.
What I wish I knew earlier is that the technical delivery is only one part of success. The human side of the project is just as important, if not more.
Final thoughts
When I look back at all of these lessons, they all point to the same idea. A CRM implementation is never just about configuring a system.
Working with Microsoft Dynamics 365 is really about helping organizations improve how they work, and that only really happens when people, processes, and technology are all aligned properly.
If I had to summarise everything in a simple way, it would be this: don’t aim for a perfect system. Aim for something that people actually use, understand, and trust enough to rely on every day.
by Pedro Gonçalo, Dynamics 365 Support Engineer at Luza