One of the first things I learned about product analytics is that an “active user” isn’t necessarily an engaged user.

A customer might log in every day but barely use the product meaningfully.

Another might log in twice a week and complete everything they need.

If we simply look at login frequency, we can easily get the wrong picture.

That’s why I think the more useful question isn’t:

“Are users active?”

It’s:

“Are users getting value?”

What Does an Engaged User Look Like?

Engagement means different things for different products.

For a social platform, it might mean creating content, interacting with others, or returning frequently.

For a B2B workflow product, it might mean consistently completing important tasks.

For an assessment platform, it could mean creating assessments, managing participants, reviewing results, and completing workflows successfully.

The common thread is simple:

Engaged users repeatedly perform behaviours that indicate they’re receiving value.

That’s very different from simply opening the application.

Disengagement Usually Happens Gradually

One mistake I’ve seen teams make is treating disengagement as an event.

A user stops logging in.

The dashboard marks them inactive.

But the real story often started much earlier.

Maybe they stopped using a key feature.

Maybe they started completing fewer workflows.

Maybe their sessions became shorter.

Maybe another member of their team stopped using the product.

By the time they become “inactive,” the underlying disengagement may have been happening for weeks.

That’s why behavioural trends are often more useful than a single activity snapshot.

Look at the Right Behaviours

Not every action is equally meaningful.

A user opening your app isn’t necessarily valuable.

A user completing the workflow your product exists to support is much more interesting.

For example, instead of measuring only:

Number of logins

consider:

• Core workflows completed
• Important features adopted
• Tasks completed successfully
• Frequency of meaningful actions
• Repeat usage of high-value capabilities
• Collaboration or sharing behaviour

The right engagement metric depends on the job your product helps customers accomplish.

Segment Before You Compare

Another lesson I’ve learned is that engagement needs context.

A new user and a six-month customer shouldn’t necessarily have the same engagement expectations.

Neither should a daily-use product and a monthly-use product.

Consider a financial reporting tool.

A customer who uses it once a month may be highly engaged if that’s exactly when they need it.

Calling them “disengaged” because they don’t log in every day would be misleading.

Before defining engagement, understand the natural frequency of the customer’s problem.

Disengaged Doesn’t Always Mean Unhappy

This is an important distinction.

A user may be disengaged because:

• They completed their project
• Their use case is seasonal
• Their responsibilities changed
• They no longer need the product
• They found another solution
• They never reached meaningful value

These situations require very different responses.

Sending more notifications to everyone won’t solve all of them.

First understand why engagement changed.

Then decide what action makes sense.

Power Users Can Show You What Engagement Looks Like

I’ve found that your most successful users can provide a useful benchmark.

Look at what they do differently.

Which features do they adopt?

Which workflows do they repeat?

How quickly do they reach value?

Do they invite others?

Do they use multiple capabilities together?

The goal isn’t to force every user to behave exactly like a power user.

It’s to understand which behaviours correlate with successful outcomes.

Don’t Try to Maximize Engagement at Any Cost

There’s a subtle trap here.

Once engagement becomes a key metric, teams may start trying to increase it artificially.

More notifications.

More emails.

More reminders.

More reasons to open the product.

The numbers might improve.

But the customer experience might not.

A product shouldn’t make users return unnecessarily.

It should make returning valuable when there’s a genuine reason to do so.

Measure Movement, Not Just Categories

Instead of permanently labeling someone “engaged” or “disengaged,” I prefer thinking about movement.

A new user is becoming engaged.

A healthy customer is becoming less active.

A power user is expanding into another workflow.

A previously inactive customer is returning.

These transitions are often more actionable than the labels themselves.

They tell you where something is changing.

Final Thought

Engaged and disengaged users aren’t simply two groups sitting on opposite sides of a dashboard.

They’re points in a customer’s journey.

Users move between them based on the value they experience, the problems they’re solving, and the circumstances around them.

As Product Managers, our job isn’t to maximize activity.

It’s to understand meaningful behaviour.

Because a user who logs in ten times without achieving anything isn’t necessarily more successful than someone who logs in once and gets exactly what they needed.

Engagement isn’t about how often users show up. It’s about whether showing up helps them accomplish something that matters.