Why Market Research Needs a Standard, Not Another Community

Communities create visibility and connection, but they do not necessarily create consistency.

Over the past few years, the industry has seen a growing number of communities, collectives, and informal networks bringing researchers together around shared interests or practices.

These initiatives respond to a real need. Independent researchers are more numerous, more visible, and often more isolated than before. Communities offer a space to exchange ideas, share opportunities, and feel part of something broader.

In that sense, they play a useful role.

But they also introduce a form of ambiguity.

Belonging to a community does not say much about how someone actually works. It does not define a method, it does not set expectations, and it does not guarantee a level of quality.

Two researchers can be part of the same network and operate in completely different ways, with different standards and different interpretations of what good research looks like.

From the outside, however, this distinction is not always visible.

The presence of a community can create a sense of reassurance, without necessarily providing a clear reference point.

Connection does not replace structure

It is easy to confuse visibility with alignment.

Communities tend to amplify voices, share content, and create a sense of momentum. They make the industry feel active and connected.

But they do not organise it.

Without a shared framework, practices remain fragmented. Each project is shaped by individual approaches, and quality becomes difficult to assess beyond personal reputation or past experience.

This does not prevent good work from happening, but it makes it harder to establish consistency across the field.

From informal networks to defined standards

What the industry lacks is not interaction, but structure.

A standard does not replace diversity. It creates a common baseline that allows different actors to operate within a comparable framework, without removing their independence.

It defines expectations, clarifies methods, and makes quality more transparent.

In a context where research is becoming more distributed, more tool-driven, and more difficult to evaluate from the outside, this kind of reference point becomes increasingly necessary.

Without it, the multiplication of communities may strengthen connections, but it does not solve the underlying issue of fragmentation.