Onboarding Optimisation
What we've learned so far
Onboarding decides what proportion of the people you have already paid to acquire ever become customers. Every improvement here multiplies the value of all marketing spend and reduces the support cost of the ones who do stay. It is the highest-leverage surface in most products, and usually the one built in the final fortnight before launch.
It needs to be treated as a product problem rather than an interface problem, because activation failures are almost always value problems in disguise. We have rebuilt genuinely confusing flows and seen the numbers move a little, and we have removed one setup step standing between a user and the thing they came for and seen them move a lot. The starting question is what has to be true for someone to get value once, then what stands in front of it. Removing steps is the obvious move and not always the right one: some setup produces a product that is immediately worth using, and asking for it at the wrong moment is the failure, not asking at all. We measure time to first real outcome rather than completion rate, because a flow everyone finishes and nobody benefits from looks healthy in a dashboard.
Personalised and adaptive onboarding is now cheap to build, which means more products will have it and most will use it to hide a weak first experience behind a smoother path to it. The differentiator is not the mechanism. It is knowing which single outcome your product should drive a new user towards, and being willing to cut everything that does not serve it.
What this can involve
Trial and Signup Optimisation
Lifecycle Email Design
Improving activation and retention
Onboarding Flow Design
How we work
Understand the product first
What the product is for, who signs up, and what a new user has to reach before it becomes worth their time. That moment is what everything else gets measured against.
Find where people drop out
Behavioural data across signup, first session and the following two weeks, so we know which step is losing people rather than guessing.
Watch people do it
Sessions with new users attempting the real thing. Numbers say where they leave. Watching says why.
Remove what stands in the way
Fewer steps before value, better defaults, and asking for information at the point it is needed rather than at the door.
Measure whether it held
Activation and return rates after the change, because an improvement that lifts week one and not week four has moved the problem rather than fixed it.
Where this isn't the right fit
If people are not signing up in the first place, onboarding is not your problem. That is acquisition or positioning, and improving the first session will not help if the wrong people are arriving or too few of them are.
If users leave because the product does not yet do what they came for, no amount of flow improvement will hold them. That is a roadmap question. And if you have too few signups to see a pattern, wait until you do, because optimising against a handful of sessions is guesswork with a chart attached.
