Feature launches sit in an awkward middle space. They are too small to justify a full product-launch motion but too big to ship silently. A tight plan keeps you from over-investing in distribution while still hitting the basics: announce it to existing customers, update the pricing page if needed, train support, and measure adoption.
A feature launch plan focuses on existing-customer activation and adoption, not net-new acquisition. The center of gravity is in-app comms, the email to current users, the changelog or what is new section, support enablement so reps can answer questions, and instrumentation to measure whether the feature is actually being used. TinyGTM's planner scales the plan down to the right size for a feature, no overkill.
Pre-launch is shorter for feature launches: in-app onboarding for the feature, the customer email, support docs and enablement, the changelog entry, analytics events, and a small set of paid or social posts if you want any external lift.
Launch day is mostly automated for features. The email ships, the in-app prompt goes live, the changelog updates, social posts go out. The team monitors for bugs and support volume.
Post-launch is about adoption. Did the people who saw the email or in-app prompt actually use the feature? Is support volume manageable? What did the qualitative feedback look like? The plan includes a 2-week and 6-week check-in.
Things teams routinely miss when they plan a feature launch without a structured checklist. The TinyGTM plan flags these as gaps.
A feature launch focuses on existing-customer activation and adoption rather than net-new acquisition. There is less external distribution and more in-app and email work. The plan TinyGTM generates reflects this by skewing toward lifecycle and support-enablement tasks rather than press and paid.
Even a small feature benefits from a tight plan: an in-app announcement, a changelog entry, the customer email, and support docs. TinyGTM keeps the plan proportional to the size of what you shipped.
Pick one primary metric per feature: percent of eligible users who tried it within 30 days, or percent of monthly active users who use the feature regularly. The plan flags analytics instrumentation as a pre-launch task so the metric is measurable from day one.
Yes. Each plan is a separate save. Signed-in users can run as many in parallel as they need across different feature launches.
Generate a smaller plan focused on changelog, internal comms, and developer-facing channels (API docs, integration partner outreach) rather than mass email.
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