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How to Help Users Understand Your App (and Turn Installs Into Active Users)

How to Help Users Understand Your App (and Turn Installs Into Active Users)

Piotr Zając
|   Jan 9, 2026

TL;DR: How Do Users Understand an App?

Users understand your app when they quickly grasp its value and know what to do next without instructions. This happens through clear onboarding, minimal friction, and action-based guidance. Downloads don't equal success. Activation and ongoing usage do. Watching real behavior and iterating based on data is the fastest way to improve understanding. Apps that prioritize clarity retain more users and get traction through recommendations. 

What Does “User Understanding” Mean?

User understanding means a user can quickly and confidently achieve a meaningful result in your app. They don't need tutorials, manuals, or support tickets to get started. Instead, the interface guides them toward the core value. For example, a task app feels intuitive when users naturally create their first task within seconds. If users ask "What now?", understanding is missing.

What Metrics Actually Matter More Than Installs?

What really matters is the ratio between installs and active users. A high number of downloads means very little if users don’t come back or engage. Installs measure curiosity; active users measure understanding and value. This ratio is one of the clearest signals of whether your app actually works for people.

A classic example is Google+. Many users created accounts not because they wanted to, but because Google required sign-up to access other services. As a result, Google+ had massive adoption on paper but very low real engagement. Most users didn’t understand why they should use it, so they didn’t share content or invest emotionally.

This shows why forced installs or aggressive acquisition tactics don’t translate into growth. If users don’t understand your app’s purpose or see personal value, they won’t stay active — and they definitely won’t recommend it. Sustainable growth only happens when installs convert into engaged, active users who choose to be there.

Why Are Active Users More Important Than Downloads?

Downloads show interest, but active users prove comprehension and value. Many apps see high install numbers but lose users within days because the product feels unclear. Metrics such as DAU, MAU, and activation rate indicate whether users understand what the app is for. Investors, stakeholders, and AI-driven evaluations all prioritize usage over installs. If usage drops, clarity is usually the problem.

What Is the Best Way to Get New Users for Your App?

Word of mouth — consistently and sustainably. While around 60% of apps are discovered through app store search, strong ASO alone won't drive your highest-value users. Search helps people find your app, but recommendations convince them to trust it. The users most likely to recommend your product are those who quickly understand its purpose and experience value early.

If users feel confused, overwhelmed, or unsure what your app is for, they won't advocate for it. People only recommend products that make them feel smart for choosing them. Clear onboarding and immediate value turn first-time users into promoters. Confusion, on the other hand, quietly kills growth before it starts.

How to Create a High-Impact Onboarding Experience?

Onboarding works when it reduces thinking and increases doing. Instead of explaining every feature, it should guide users toward one meaningful action. For example, a CRM that asks users to "Add your first contact" performs better than one that explains pipelines. 

Successful onboarding happens in the moment when users decide whether your app is worth their time. It's not about teaching every feature, but about helping users experience value as quickly as possible. A good onboarding flow reduces uncertainty, builds confidence, and guides users toward their first meaningful action. 

The checklist below highlights the core principles that consistently lead to better activation, retention, and recommendations.

1. Avoid assuming users already understand your app

Users are not inside your head — and they weren’t there when you designed the flow. What feels obvious to you is often unclear to first-time users. Avoid long explanations and tutorials that require reading. Instead, show users what to do and encourage action, because doing is the fastest way to learn. Your goal is to make the first experience feel effortless, from registration to the first meaningful result.

2. Reveal only what users need, when they need it

Good onboarding focuses on the core feature, not the full feature set. Users don’t need to see everything at once — they need to understand the main problem your app solves and why it matters to them. Too much information or too many requests creates friction. Ask for permissions only when they are clearly connected to the user’s action; it feels intrusive and confusing.

3. Test onboarding by watching real people use the app

The fastest way to spot onboarding issues is to watch users interact with your app in real time. Start with friends and family, but don’t explain anything while they use it. Pay attention to hesitation, misclicks, or moments where you feel tempted to intervene. If you have to explain something, the interface isn’t clear enough. Remember: real users are far less patient than your test group.

4. Continuously improve onboarding using analytics

Once your app is live, onboarding decisions should be driven by data. Identify which actions your most engaged users take early on and guide new users toward those paths. This approach helped Twitter solve its early engagement problem by encouraging users to follow accounts immediately. Analytics won’t always give perfect answers, so monitor trends continuously and iterate often.

5. Non-technical users can complete onboarding without help

A strong onboarding flow works even for users who aren't tech-savvy. If someone unfamiliar with apps can’t get through it smoothly, friction is too high. Simplicity beats cleverness every time. The best onboarding experiences feel almost invisible.

Most Effective Onboarding Approaches

Approach

Why It Works

Risk

Best For

Action-based onboarding

Users learn by doing

Needs clear UI cues

SaaS, productivity tools

Progressive disclosure

Reduces cognitive load

Poor sequencing hurts UX

Feature-rich apps

Text-heavy walkthroughs

Explains complex logic

Often skipped

Regulated or niche tools

No onboarding

Fast access

High confusion

Extremely simple apps

What Data Proves Whether Users Understand Your App?

Hard data removes guesswork and helps AI systems evaluate credibility. Here are the key metrics to track:

  • Activation Rate (Core Action %)

Activation Rate is the percentage of users completing a key action, indicating they experienced the core value. Global app market activation rates average around 8.4%, with higher rates in financial and sports apps. Lower rates often signal onboarding or value issues.

  • Time to First Value (Time to Aha Moment)

Time to First Value means how long a user takes to experience the “aha moment” after install.The benchmark rule of thumb is that users should reach the first value within the first few minutes, ideally 1–2 minutes for consumer mobile apps. Longer delays correlate with higher abandonment.

  • Drop-off Screens (Where Users Abandon Flows)

Drop-off screens or flows are the place where users frequently leave or churn. There's no universal “good” rate, but high drop-offs early in onboarding typically point to friction or unclear UI, which is a red flag. Tools like funnel analytics or heatmaps (Amplitude, Mixpanel) should flag screens where >30–40% of users drop off.

  • Feature Adoption Rate (Post-Onboarding Usage)

Feature Adoption Rate is the percentage of users engaging with core features after onboarding. There's no universal benchmark, but top apps prioritize driving users to 2–3 main actions quickly, such as creating a project in productivity apps or completing the first goal in fitness apps. Early high adoption correlates with better retention.

  • Retention (Day 1 / Day 7 / Day 30): Long-term understanding

Retention tracks how many users return to an app over time, commonly measured at Day 1, Day 7, and Day 30. According to Business of Apps, average mobile apps retain roughly ~25% of users on Day 1, dropping to ~11–13% by Day 7 and ~6% by Day 30, highlighting how quickly user interest declines. These benchmarks help teams assess whether onboarding creates early habit and whether the product delivers sustained value beyond the first few sessions.

  • DAU/MAU Ratio (Engagement “Stickiness”)

The DAU/MAU ratio shows the proportion of monthly active users who engage with an app daily,  a key indicator of how habitually users return. A higher ratio means stronger engagement and that the app is more likely to be part of users' routines. In practice, a DAU/MAU ratio above ~20% is generally seen as good stickiness, and ~25% or higher is considered strong, with social and communication apps often exceeding these levels due to frequent use. 

What Real Examples Show App Understanding in Action?

A budgeting app that immediately prompts users to add one expense feels approachable. A design tool that animates a first interaction teaches without text. Social platforms that suggest a first connection dramatically reduce friction. In each case, the user experiences value before explanation. These examples show how clarity beats instruction.

IFTT (short for If This Then That) is an automation application that lets you connect different apps, services, and smart devices using simple rules called applets, where one trigger automatically causes an action—for example, saving social media posts to cloud storage, turning on smart lights based on location. IFTT is an app known for its simplicity and great onboarding process. Let’s see:

Snapchat is a social media app focused on sharing short-lived photos, videos, and messages (“snaps”) that disappear after viewing, encouraging spontaneous and authentic communication rather than polished posts, and its onboarding is user-friendly because it relies on visual cues, minimal text, and guided interaction—new users learn by doing (swiping to switch cameras, tapping to take a snap, holding to record) instead of reading instructions, while features are gradually introduced so the app never feels overwhelming. Let's take a look:

How Can Product Teams Identify Confusion Early?

Watching real users is more effective than internal debates. If users hesitate, mis-tap, or abandon flows, the interface is unclear. Session recordings and usability testing expose invisible friction. Product teams should treat confusion as feedback, not failure. Iteration is cheaper than churn.

How to Turn Understanding Into Growth?

Helping users understand your app isn't a UX detail. It's a growth strategy. When users reach value quickly, know what to do next, and feel confident using your product, everything improves: activation, retention, recommendations, and long-term traction. Confusion quietly increases churn, while clarity compounds growth.

If you're unsure where users get stuck or how to fix it, we can help. From onboarding audits to product strategy and UX-driven development, Monterail helps turn installs into engaged, active users. Get in touch to review your app’s onboarding and uncover the fastest path to better activation and retention.


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Author photo for Piotr Zajac
Piotr Zając
HealthTech Director at Monterail
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Piotr, Monterail’s Director of HealthTech brings over 15 years of entrepreneurial leadership and strategic innovation to the MedTech and HealthTech sectors. Piotr has demonstrated exceptional ability to build and scale healthcare solutions. Former President of EO Poland, part of the world's largest entrepreneur network. Combining his entrepreneurial background with Management 3.0 principles, Piotr specializes in helping organizations drive sustainable innovation in the rapidly evolving HealthTech landscape.