I call this the documentation tax. And it is, in my view, the single most underappreciated risk in operational improvement work.

Here is the uncomfortable truth. A poorly designed reporting system does not just waste time. It corrodes the very thing it was meant to protect. When data entry feels punitive, people enter data quickly and carelessly. When dashboards take three hours to compile each Friday, the dashboard either stops getting compiled or the work that produced the dashboard stops getting done. And when the team starts to view metrics as a tax imposed by management rather than a tool that helps them work, the entire program loses its credibility — sometimes permanently.

ICH E6(R3) Annex 1, Section 3.10 frames this as the principle of proportionate quality management. The effort spent on quality activities — including the data collection that supports them — must be proportionate to the risks involved and the value of the output. This is not a suggestion. It is an explicit guardrail against the kind of bureaucratic accumulation that consumes research budgets without protecting participants or improving evidence.

This lesson is about building reporting systems that respect that principle. Systems that pull from where the work already happens. Systems that serve multiple audiences without manual rework. And systems that you have the discipline to audit, simplify, and sometimes turn off.

I call this the documentation tax. And it is, in my view, the single most underappreciated risk in operational improvement work.

Here is the uncomfortable truth. A poorly designed reporting system does not just waste time. It corrodes the very thing it was meant to protect. When data entry feels punitive, people enter data quickly and carelessly. When dashboards take three hours to compile each Friday, the dashboard either stops getting compiled or the work that produced the dashboard stops getting done. And when the team starts to view metrics as a tax imposed by management rather than a tool that helps them work, the entire program loses its credibility — sometimes permanently.

ICH E6(R3) Annex 1, Section 3.10 frames this as the principle of proportionate quality management. The effort spent on quality activities — including the data collection that supports them — must be proportionate to the risks involved and the value of the output. This is not a suggestion. It is an explicit guardrail against the kind of bureaucratic accumulation that consumes research budgets without protecting participants or improving evidence.

This lesson is about building reporting systems that respect that principle. Systems that pull from where the work already happens. Systems that serve multiple audiences without manual rework. And systems that you have the discipline to audit, simplify, and sometimes turn off.