How to keep momentum after the launch
The overlooked phase of product development
You’ve probably experienced this scenario: after weeks or even months of development—and perhaps one or two painful delays—the long-awaited feature is finally delivered. The press release goes out, there's a modest internal celebration, and the team collectively exhales. The following day, everyone shifts gears to the next set of priorities. The feature is live, working, and soon fades from collective memory. There’s just too much else to do.
But the work isn’t over.
What about:
Feedback?
Success Measurement?
Iteration?
That is all too often forgotten.
Too often, we treat a feature launch as the finish line. In reality, it’s just another milestone. Just as it would be unwise to deliver a feature without proper discovery, it's equally problematic to launch without a post-release plan. These next steps are critical and they need to be actively planned.
What should be part of your post-launch checklist?
1. System Observation: Monitor the platform. Are there unexpected behaviors such as slow response times, performance degradation, container scaling issues, or error spikes? System metrics will give you an early signal if something’s off.
2. User Feedback: Don’t wait for issues to escalate. Proactively gather insights from your core users: interviews, targeted feedback forms, and data from customer support. These perspectives often surface usability concerns or gaps in value delivery.
3. Success Measurement: Before the launch, you (hopefully) defined what success looks like. Are you seeing the expected adoption? Is engagement up? Are workflows faster? Whatever your KPIs were: track them, analyze them, and validate if the feature delivers as intended.
4. Iteration: Based on your findings, be ready to refine. No feature lands perfectly the first time. You may need to address overlooked edge cases, polish interactions, or rework flows that didn’t land well with users.
To do all this well, plan for it. Post-launch work needs resources. That could mean reduced sprint scope immediately after a launch, technical observability baked into the implementation, or time blocked in your own calendar to lead these efforts. The better you prepare, the smoother this phase will go.
One final note on estimations: don’t treat post-launch as an afterthought. Discovery, delivery, and follow-up activities should all be part of your roadmap and effort estimation. Because launching is not the end. It's when reality begins.
I personally use a mega prompt to have a weekly market and competitive research document generated for me. It saves me so many hours of time! I provide the prompt for free: https://productmanagement.gumroad.com/l/research-agent-prompt
Use all major chatbots (LLMs) for 10$ per month and cancel your subscriptions to ChatGPT, Claude, Perplexity, etc.: 👉 Abacus ChatLLM . If you use this link to subscribe, I will receive a referral fee.
What I read
As usual, I will list some of the best articles I read on the Internet. I will keep a list of the best articles (currently >800) at https://www.digital-product-management.com. These are today’s picks:
Five Stages of Leadership: From taskmaster to visionary, discover how great leaders evolve.
The Product Operating Model Explained: A short and brilliant description of the Product Operating Model.
Job Stories: Why User Stories Are Ill-Equipped For Building Addictive Products
Post-launch amnesia is so real. Ive watched teams sprint through discovery and delivery just to treat launch day like the finish line, then act suprised when adoption tanks or edge cases blow up production six weeks later. That checklist you laid out, especially the part about planning resources beforehand, is the kind of unglamorous work that seperates products that stick from ones that limp along. Worked on a feature once where we blocked 20% of the next sprint for post-launch monitoring and it saved us from what would've been a nasty rollback.
A solid reminder. I’d add one more layer.
I see this also as a psychological post-launch drop, reinforced by cognitive biases.
A launch feels like completion. There’s relief after a long push, and the brain registers it as “done,” even though we know rationally it’s only the beginning.
The real challenge is not just knowing what to do after launch, but also regrouping and sustaining focus to actually do it.