Time-to-Value Analysis

⏱️ Product Time‑to‑Value (PTV) is the new North Star. If your product delivers value slower than users can brew a coffee, they won't stick around. Let's put some physics around this idea so every builder can see the bottlenecks and crush them. Every time I speak to someone about product, the conversation almost always lands on money or time. 🧾 How to show better ROI 💸 How to improve margins ⏳ How to save time for the user 🧠 How to buy time for the team But the more I sat with it, the more I felt that time is the real currency. Not just time saved — but time to value. That's where I started seeing this pattern. A quiet but fundamental shift across all breakout AI products. They weren't just doing things faster. They were compressing the entire journey from intent → value. And that's when the idea clicked: Product Time-to-Value (PTV) is the real lever. 🔬 Here's the (tiny) math: PTV = α × T_setup  + β × T_interact   + γ × T_system  + δ × T_cognitive + ε × T_feedback Each one is a friction: T_setup: how much config before I can even try? T_interact: how many clicks/fields to express intent? T_system: how long does the machine take to respond? T_cognitive: how much do I need to "get" before I use it? T_feedback: how fast can I see and refine the result? See example in the image. The best AI-native tools are not just fast — they annihilate one or more of these terms entirely. So if you're building in 2025 and beyond, don't ask "what features should we build?" Ask: Where is the PTV highest in our flow — and can we crush it? Can value be felt before the user deserves it? Because we're no longer in the era of complex workflows and heavy dashboards. We're in the age of compressed value. Of instant outcomes. Of invisible interfaces. And if you track PTV the same way you track revenue or engagement, you might just build something people fall in love with — not over months, but in seconds. Did I just cracked the code on why Anysphere, Perplexity, Gamma, Lovable, and Replit feel magical while most tools feel like work? At Plane, we're obsessing over this metric. How does your PTV look like?

It's easy for PMs to mismeasure time-to-first-value. It's not because of them. It's because of how users typically behave. Just so we're aligned, time-to-first-value (TTFV) is defined as the time customers take to get initial value from a product. TTFV is used to measure how well the first mile of the user journey is performing, particularly onboarding experiences. A low TTFV often closely correlates with retention too. But why is it tricky to set? Because there's a tendency to set the completion of a main user flow as the "aha moment" to measure. But that may well be the pre-requisite to value as opposed to the value itself. Let's look at an example. Here's Loom's co-founder, Shahed Khan: (("The team thought that signing up to Loom and recording a video would be the “aha” moment to the product’s value. Data and feedback showed that it wasn’t. In actuality, people’s first videos were just a test to play around with what the product could do. From there, they began measuring adoption metrics starting from a user’s second video. Consequently, they learned that it wasn’t until someone received their first view on their Loom video that users would see the value in their product and continue using it.)) This happened to me on an applicant tracking system I was leading as well. It was thought that a recruiter experienced their first value when they published their first job. But similar to Loom's case, most recruiters were just trying out the job posting experience the first time around. It wasn't until a job seeker application from an external domain was submitted that true value was registered. How are you setting your first time-to-value for your product?

Nearly 80% of free trial users never convert to paying customers. The culprit? SaaS products often take too long to deliver value. Time-to-value is the hidden killer of SaaS products. If users don't quickly experience how software improves their life, they'll delete the app or abandon their account. Accelerating time-to-value should be a top priority for SaaS companies. Reducing the time to value can boost customer satisfaction by 10-30%, directly impacting retention. Strategies like optimizing onboarding, personalizing user experiences, and implementing quick wins can dramatically improve time-to-value. The key is identifying your product's "Aha!" moments... those eye-opening experiences that turn casual users into lifelong customers. Here's how: ↳ Personalization is crucial Different user segments will find value in different aspects of your product. Tailor the experience to get each group to their "Aha!" moment faster. ↳ Don't overwhelm new users with every feature Focus on their specific objectives and guide them step-by-step to experiencing core value. ↳ Quick wins build momentum Help users complete small, meaningful actions to boost their confidence and engagement with your tool. ↳ Continuously measure and iterate on your onboarding process There's always room for improvement in accelerating time-to-value. Want to learn more about optimizing your SaaS product's time-to-value? Read the full article for in-depth strategies and insights. Link in comment 👇

Setting a user up for success should happen in the first 60 seconds of your product being used. We obsess over time to value, activation and retention at Sauce AI by zooming in on the user's first 'aha moment.' Here's how we think about time to value as a framework: 1. Identify your first 'aha moment' (e.g. impactful insight uncovered) 2. Map out the user journey from website to reach the 'aha moment' 3. Detect friction points via dogfooding, analytics, session replays 4. Prioritize the friction points by biggest drop-off 5. Ship, measure and do it again Our customers' first impressions are everything. Users aren't getting value or churn because your product is bad, but because they haven't been onboarded properly.

Most companies can’t answer one simple question: “When do your customers first realize real value?” They measure onboarding steps. They track usage. They celebrate go-lives. But none of that guarantees the customer has actually gotten what they came for. That’s why Time to First Value (TTFV) is becoming one of the most important metrics in business... not just in SaaS, but in every industry. Here’s the truth: Customers don’t churn because your product is missing a feature. They churn because value takes too long to show up… or because no one inside the company can articulate what “value” even means to the customer in the first place. A few things I break down in my latest article: 📌 Why Bradley Gale’s value equation still matters Customer value = perceived quality ÷ perceived price. If customers don’t perceive an early win, the value equation collapses fast. 📌 How journey mapping, done through a value-driven lens, changes the game Not “what steps do customers take?” But “what outcome are they trying to achieve, and when does that outcome first happen?” 📌 Why defining First Value is a cross-functional responsibility Sales sets expectations. Ops delivers the experience. CX/CS validates and accelerates outcomes. If any one of those breaks, so does early value. 📌 Why TTFV matters beyond SaaS Manufacturers, healthcare systems, service businesses... everyone has a First Value moment. If your customers don’t feel it quickly, you’re already behind. If you want a practical way to shorten the distance between customer expectation and customer results, this is the metric to start with. I break it all down in this article. See the link in the first comment. #metric #customersuccess #customervalue #value #customerexperience #timetofirstvalue