On symbolic interaction, product meaning, and why users decide what your feature means after you ship it
Product teams love to talk as if features have meanings built into them. A Like button expresses appreciation. A streak drives retention. A badge signals trust. A verification mark confirms authenticity. The interface appears, the label is attached, and the meaning seems settled.
But that is rarely how social meaning works. People do not simply receive a feature's intended purpose and use it obediently. They interpret it. They compare notes. They imitate each other. They improvise. They turn a neutral mechanism into a signal, a ritual, a joke, a threat, or a status marker.
By the time a product team says "users are misusing the feature," the more honest description is often that users have finished socially defining it.
This is where symbolic interactionism remains surprisingly useful product theory. Meaning does not sit inside the object waiting to be discovered. It emerges through interaction. A feature acquires social meaning as people use it with and against one another.
Facebook's Like button is a classic example. It did not stabilize around one obvious emotion. Depending on the moment, it could mean agreement, acknowledgement, sympathy, courtesy, algorithmic maintenance, or a low-cost signal of presence. The product team had designed a button. Users had built a social grammar around it.
Snapchat streaks evolved in a similar way. A mechanic designed to encourage return behavior became, in practice, a symbol of relational maintenance. Missing a streak stopped being a simple lapse in usage and started feeling like a statement about the friendship itself. That meaning was not coded into the interface. It was produced socially.
Once you see product meaning this way, a lot of common PM mistakes become easier to explain. Teams assume a feature failed because the intended use case was weak, when the real problem was that the social meaning turned out to be awkward or unclear. Or they assume a mechanic succeeded because engagement rose, when the more important question is what people now believe participation says about them.
Products do not only coordinate behavior. They coordinate interpretation. That is why semantics, naming, visibility, default audiences, and who gets to see what are so consequential. These are not surface decisions around the real product. They are part of how the product becomes legible at all.
Digital sociology is useful here because it insists that the digital object cannot be understood apart from the social life built around it. The meaning of the feature lives partly in the interface and partly in the interaction order surrounding it.
It becomes much more important to watch what users are collectively teaching each other that the feature means. Look for emergent etiquette. Look for unofficial rules. Look for moments where the cost of opting out becomes unexpectedly high. Look for cases where the social meaning outruns the functional one.
It also changes how I think about product critique. A good critique does not only ask whether the mechanic works. It asks what kind of social interpretation the mechanic is inviting, stabilizing, or rewarding. Sometimes the most important product outcome is not what users do. It is what users learn that doing it means.
This is also why I put this essay near Context Collapse Is a Product Failure. Audience structure changes meaning. A post seen by five close friends means one thing. The same post seen by employers, cousins, and acquaintances means another.
Design still matters, of course. It gives social interpretation raw material. But it is a mistake to imagine that meaning is delivered top-down from product intent to user behavior. Meaning is made in use. That is one reason product work is always closer to sociology than it first appears.