Mobile app onboarding: how much should you ask for before someone sees value

Every field in a signup flow is a small, measurable tax on how many people actually make it through to using the product. Founders routinely ask for more upfront information than the app actually needs on day one, usually because it feels efficient to collect it all at once rather than because the product genuinely can't function without it yet.

Does the very first thing a user does in this app require this specific piece of information? If not, it can be collected later, at the moment it actually becomes relevant, when the user has more context for why it's being asked and more investment in the product to tolerate the friction of providing it.

A full profile photo and bio, detailed preference settings, and payment information (unless the very first action is a purchase) can nearly always wait. We've measured signup completion rates drop by roughly 10 to 15 percent for every additional required field beyond email and password on a typical consumer app, which makes each field a real, quantifiable cost worth justifying individually.

Apple, Google, or Facebook sign-in removes several fields' worth of friction in a single step for users comfortable using it, and it's worth offering alongside a traditional email signup rather than as the only option, since a meaningful minority of users, for privacy reasons or otherwise, actively prefer not to use it.

Ask for a profile photo when a user is about to interact with others who'd see it, not during initial signup before they've even used the product once. Ask for notification preferences right before the first notification would actually be sent, not as an abstract settings toggle in an onboarding wizard nobody has context for yet.

A marketplace app's original signup flow asked for name, email, phone, location, and a profile photo before allowing any browsing. We cut it to email and password only, moving everything else to contextual prompts later in the flow, and signup completion rose from 61 percent to 84 percent, with no measurable drop in eventual profile completion once users had actually experienced value first.

This principle isn't universal. A dating app needs enough profile information upfront for matching to function at all on a first session, and a financial services app has real regulatory requirements that genuinely can't be deferred to a later, more contextual moment. We apply the field-by-field test described above honestly in these cases too, and the honest answer is sometimes that a field really does need to be day one, which is a different and legitimate outcome from defaulting to collecting everything just because it's convenient to ask for all at once.

The distinction that matters is between fields required by the product's actual mechanics versus fields collected because someone assumed they'd be useful eventually. Only the first category earns a place in a day-one signup flow under this framework.

Before shipping a trimmed signup flow to production, we run it past a handful of test users unfamiliar with the product and specifically watch for the moment they'd naturally expect to be asked for information that's been deferred, since a genuinely well-timed prompt should feel natural rather than intrusive when it eventually appears. If a tester expresses surprise or discomfort at a later prompt, that's a signal the timing needs adjusting, not that the field should move back to day one by default.

A client's sales or customer success team, used to having a full user profile available from day one for outreach and personalization purposes, sometimes pushes back on a deferred-field approach, since it means fewer complete profiles to work with in the early days after signup. We take this concern seriously and quantify the actual tradeoff directly: a smaller number of signups who eventually complete a fuller profile after experiencing real value, versus a larger number of signups where a meaningful share abandon before ever reaching that fuller profile at all. In nearly every case we've measured, the deferred approach produces more completed profiles in absolute terms, not fewer, simply because it starts from a larger base of users who actually stuck around.

We don't treat a completion rate improvement at signup as the end of the analysis, since a leaner signup flow that boosts initial conversion but produces users who never return would be a false win. We track seven-day and thirty-day retention specifically for the cohort that signed up through the trimmed flow against the previous baseline, confirming the additional signups are genuinely sticking around and eventually completing the deferred fields, not just inflating a top-of-funnel number that doesn't translate into real product usage or long-term retention. In every case we've measured so far, the retention numbers held, and in a couple of cases actually improved slightly, likely because users who experienced the product before being asked for personal information arrived at that request with more trust already built. We share this specific retention data with any client team still skeptical of the deferred-field approach, since a completion-rate number alone doesn't settle the concern about long-term profile quality the way a full retention comparison does, and seeing the actual numbers side by side tends to resolve the debate faster than any amount of general argument about best practice.

The general principle scales beyond signup forms: ask for the minimum a user needs to reach their first real moment of value, and defer everything else to a point where the request has context behind it. A field asked for after a user has already gotten something useful from the product reads as reasonable. The same field asked for before they've seen anything reads as a toll, and tolls are exactly where users abandon.