You are signing up for a new project management tool. Excited. You watched the demo, loved the features and paid for the annual plan. Now you’re looking at an empty dashboard with seventeen buttons and no idea where to begin.
Thirty minutes later, you’ve just clicked around aimlessly and still can’t figure out how to invite your team. The excitement is gone. You close the tab thinking, “I’ll figure this out tomorrow.” You never come back.
That tool just lost you – maybe because the product was bad – but you may have never gotten to your “aha moment.” Time-to-Value was too long. And users won’t wait.
Time-to-Value is defined as the period of time between signing up and the first meaningful value.
The aha moment is something very personal. For Slack, it’s sending your very first message. For Canva: creating your first design. For Dropbox, syncing files.
Here’s what is important: The best SaaS products get users to appreciate in less than 5 minutes. Every minute of extra time gives users time to question their decision or abandon it.
Research shows that 75% of users give up on a product in the first week if they have a difficult time getting started.
Time-to-Value is not a product problem. It’s a UX problem.
Users don’t leave because there are no features. They abandon because they can’t find those features, or don’t understand how to use them, or they get overwhelmed trying.
Email marketing software, you may have everything you need: templates, automation, analytics. But if onboarding requires you to configure your access to your own mail server (SMTP), import contacts, design templates, set up domains, etc., before sending your first email, you’ll be out the door.
Good UX flattens out TTV by eliminating the friction between signup and the aha moment. It follows the principle of minimum path to value.
our onboarding window is agonizingly short. Users form opinions quickly and switch off faster.
Those critical first five minutes are the difference between being an active user and a churn statistic. Users are at the same time trying to make sense of your interface, trying to accomplish their goal, and trying to justify their decision.
They’re not reading guides. They’re not watching videos. They’re clicking buttons, hoping that something makes sense. If nothing does, they’re gone.
Every form field is friction. Each verification email delays aha moments. All the configuration settings move the value further away.
Stripe understands this. Their test mode allows developers to integrate payments in a matter of minutes without any verification or setup of the bank. There comes an AhaMoment which is immediate. The complicated stuff comes later on.
New users don’t need to be shown everything. They need to achieve one specific goal that will prove your product is worth their time.
Progressive disclosure hiding functionality reveals functionality progressively. Show what’s needed now. Hide what’s needed later.
Notion does this well. New users aren’t faced with databases, relations, and formulas from the start. They start with a simple page. Then the interface opens up bits at a time, formatting, and links as users can master one layer at a time.
This is a cognitive load respectful. Users are focused on their goal and not on navigating interface complexity.
That empty dashboard that new users are met with? It’s your greatest asset or your worst enemy.
Empty states often just sit there. No guidance. Users sit and stare, saying, “What do I do now?” And that uncertainty kills Time-to-Value.
Empty States Smart empty states help users to aha moments. They display examples, provide templates or take one-click actions.
Asana’s empty project doesn’t say “Add tasks”. It offers project templates. Marketing campaign? Click. All of a sudden, your blank project is filled with structure. You’re meaningfully using the product within seconds.
This turns what before would have been empty states cause dead ends, into accelerators.
Not all userscan experience the same aha moment. Different people signed up for different reasons.
Personalized Onboarding Based on User Intents in place. Ask one simple question: “What brings you here?” Then farm users to experiences that are optimized to their goal.
An SEO tool may say: “Keyword research” or “Site audit?” Users opting for keyword research get to see keyword tools right away rather than site crawlers.
Duolingo masters this. New users choose their language, proficiency level and daily goal. The onboarding is adaptive and totally changes. The beginners receive alphabet lessons. Advanced learners go on to conversations. Everyone arrives at their individual aha moment in an efficient way.
Every action users have to do before they feel value is increasing TTV.
In onboarding, be ruthless in your audits. Are the values of this step time created or delayed? If it is a delaying value, can it happen later?
Users do not have to complete profiles before trying your product. They do not have to watch tutorials. They need not invite the members of their team to see how it works.
Slack understood this. Users are able to start messaging immediately. Profile information, workspace settings, and integrations – all optional. The aha moment occurs in the first minute.
Ask yourself: what’s the absolute minimum that we need in order for someone to experience value? Then make everything else an optional or automatic.
Nobody wants to see a fifteen-minute tutorial before using your product.
Contextual guidance is available wherever and whenever users need it. Tooltips are used when users are confused about what they are seeing and move their mouse on an unclear element. Walkthroughs are a trigger that happens when users try to perform complex actions.
This just-in-time approach is compatible with user behaviour. Users learn while they do that is faster than learning and then doing.
Grammarly exemplifies this. The tool doesn’t force up-front writing lessons. It corrects the mistakes as you write, and explains issues when you click it. The aha moment comes right and during the natural use.
You can’t improve upon what you don’t measure. Define your aha moment clearly, and then track the amount of time users take to achieve the aha moment.
For different products, however, aha moments are different. Email tool – sending first campaign. Analytics tool: viewing the first report. Whatever signals a genuine use – that’s your aha moment.
Track TTV by tracking the time between signup to first value event. Then analyse drop-off points.
Where do users get stuck? Which steps take the longest?
This data indicates where exactly the UX improvements should have a focus. Reducing TTV from ten minutes to five minutes can double activation rates due to a reduced number of users who quit before reaching the value.
When people have aha moments quickly, many positive things are compounded.
Activated users welcome colleagues, also deepening adoption. They explore other features, which enhance engagement. They give you better feedback since they have an understanding of the product. They renew subscriptions because they’ve gotten value.
Fast TTV also helps to improve word of mouth. Users who have immediate value turn into advocates.
On the contrary, slow TTV generates negative momentum. Frustrated users complain publicly and demand refunds, and warn others away.
Reducing Time-to-Value through UX = Obsessing in those first five minutes. Every design decision should be based on the question, will this help users reach an aha moment more quickly?
Good UX reduces friction by eliminating the unneeded friction, selecting guides as situations demand, making experiences personal and strategically using empty states.
Your product may be incredible in its features. But if users never get a chance to experience value quickly enough to discover those features, they’ll never know. Design interfaces that lead users quickly to aha moments. Eliminate steps that aren’t creating value. Help when needed, not before. Personalized based on user goals.
The faster the users get to their aha moment, the more users stay around. And users that stick around become customers that pay, advocates that promote, and a foundation for sustainable growth.
Is your onboarding losing users before they find value?
Our UX design team specializes in Time-to-Value optimization via strategic onboarding optimization. Let’s help your users to reach their ah-ha aha faster.
Time-to-Value (TTV) is the time – that is, how long it takes from the time of sign up to when you feel value. The aha moment is the specific event of realisation of value – it’s what happens at the end of TTV. Think of TTV as the journey, and an aha moment as the destination. For example, in a design tool, TTV could be 3 minutes, and the aha moment is that you have completed your first design. Different users may have different aha moments depending on their goals, but TTV keeps track of how fast you get to whatever moment is important to you.
Look at patterns of user behaviour. What actions have the greatest correlation to retention? Users who follow certain actions are much more inclined to stick around – that is probably your aha moment. Interview retained customers and ask when he/she first perceived the product to be valuable. Analyse cohorts – compare the users who stayed versus the users who churned. What did the retained users do that the churned users didn’t? That differentiating action is often when you get your aha moment. For most products, it’s the first time that users have a successful experience completing their primary use case.
The best SaaS products have users valuing it in less than 5 minutes. Products of TTV less than 24 hours are generally doing well. Anything more than a week is a big risk for churn. However, the benchmark depends on the complexity of the product. Simple tools (like scheduling apps) should be able to deliver value within minutes. Complex enterprise software could take days, but at least give quick wins at the onboarding stage. Even complex products can have “Time to Basic Value” (TTBV)– a smaller, faster win and confidence-building as the users work up to achieving full value.
Focus irremediably on one use case that results in an aha moment. The problem with showing everything is that it overwhelms users and increases their cognitive load, actually delaying value realisation. Feature tours don’t reduce TTV – they increase it by forcing users to process information they don’t need yet. Use progressive disclosure – Help users do one meaningful thing, then show them more and more. Users with fast value are more motivated to learn more features later than users who were presented with everything upfront and accomplished nothing.
Track the following metrics:
(1) Activation rate – percentage of users who reach an aha moment,
(2) Time from signup to first value event,
(3) Drop-off points during onboarding,
(4) Day 1, Day 7, and Day 30 retention rates,
(5) Support tickets during the first week. Take action (make changes), monitor the effect on these measures and repeat. A/B test onboarding variations, which one reduces TTV most effectively? Also collect qualitative feedback: ask users how long it took to see value and
If something was confusing. Combine quantitative metrics and user feedback for the whole picture.
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