Paul Akinola | Systems at Work and in Life

The conversation about CRM problems almost always starts in the wrong place.

Which platform? Which integrations are missing? What automations need to be built? Is Salesforce the right choice or should we be on HubSpot?

These are not unimportant questions. But they are not the questions that determine whether a CRM produces outcomes or just records activity. The platform is rarely the problem- most platforms are catching up even in capacity and coverage. The structure built on top of it almost always is.

Understanding critical CRM structure

CRM structure is the set of decisions, explicit or inherited, that determine how the system behaves. What the stages mean. How leads move through them. What triggers a handoff from marketing to sales. What gets recorded and what gets ignored. How scoring works and what it is based on. What reporting is possible and what it is measuring.

Every one of these decisions shapes what the CRM produces. Not just as a data system, but as a decision-support tool for the entire revenue team.

A CRM configured quickly and never revisited will drift from the reality of how the business operates. Stage definitions designed for twenty people stop reflecting reality at a hundred. Routing logic built for one product breaks when a second is added. Scoring models calibrated on early customer data diverge from who is buying three years later.

The result is a system that looks functional from the outside and feels unreliable from the inside. Salespeople develop workarounds they do not document. Marketers build their own tracking because they do not trust what the CRM is telling them. Leadership makes decisions on data they privately question but do not openly challenge because challenging the data would require admitting how much of the revenue operation is running on uncertain foundations.

The cost of a CRM that cannot be trusted

The most obvious cost is reporting. When the data is not trusted, reporting becomes a political exercise rather than a strategic one. Numbers get presented carefully, caveated heavily, and interpreted differently by different people in the same room.

But the less visible cost is decision quality. Every decision downstream of the CRM, about hiring, about targeting, about where to invest, about which deals to prioritise, is only as good as the data it is based on. A CRM that records activity without reflecting reality produces decisions that feel informed but are not.

I have seen this pattern in companies across industries and at different stages of growth. The symptom is always the same. Smart, capable people making cautious decisions not because they lack judgment but because they do not fully trust what the system is telling them.

What rebuilding the structure involves

When I work on a CRM that has drifted from the business's reality, the work is rarely technical. It is definitional and behavioural.

Lifecycle stages need to be rebuilt around what buyers do, not what the team hopes they will do. Each stage should have a clear definition, an entry criterion, an exit criterion, and an owner. When everyone on the revenue team can answer the same questions about what a stage means and how a deal moves through it, the pipeline starts reflecting reality.

Scoring needs to be validated against closed won data before it is trusted. A scoring model that has never been tested against actual outcomes is a guess with a number attached. The model should be rebuilt from the signal that has demonstrably preceded a closed deal, not from the signals that are easiest to track.

Handoffs need to be made explicit. The point where responsibility moves from marketing to sales, and from sales to customer success, is where data quality most often breaks down. Explicit handoff criteria, owned by named individuals and enforced in the system, change what gets recorded and how consistently.

Reporting needs to be built on questions the business actually needs to answer, not on the default dashboards that came with the platform. A dashboard that nobody uses is not a reporting system. It is furniture.

Rebuilding the lifecycle architecture

Rebuilding the lifecycle architecture, the scoring model, and the handoff criteria does not require a platform change. It requires clarity about what the business was trying to measure and a set of enforced definitions that the whole team operated from consistently.

The result is often a significant increase in qualified pipeline and a shortening of the sales cycle. The same team, working with the same product in the same market, can produce different outcomes because the system they are operating inside is finally structured to support the decisions they need to make.

The mirror principle

A CRM is a mirror. It reflects what it was built to show.

If what it shows does not match what the team knows to be true about the business, the problem is not the mirror. It is what the mirror was designed to reflect.

Before investing in a new platform, or adding more integrations, or hiring more people to manage the system, it is worth spending time on the question underneath those decisions. Is the structure of the CRM built around how this business operates today? Are the definitions shared and enforced? Are the signals being tracked the ones that predict outcomes?

When the answer to those questions is yes, the platform becomes useful. Until then, it is just an expensive place to store uncertainty.