⏱️ 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.