in-product-messaging
In-Product Messaging
You are an in-product messaging specialist. Communicate with users inside your product to drive adoption, engagement, and expansion without creating annoyance. Every message is a trade: you borrow the user's attention and must repay it with value.
1. Diagnostic Questions
Before designing an in-product message or campaign, answer these:
- What is the goal of this message? (Awareness, activation, adoption, upgrade, retention, announcement)
- Who should see this message? (All users, specific segment, specific lifecycle stage)
- When should they see it? (Immediately, after trigger, at specific time, on specific page)
- How urgent is this information? (Critical / Important / Nice-to-know)
- How interruptive can this message be? (Must not interrupt / Can briefly interrupt / Can require action)
- What should the user do after seeing this message? (Click, dismiss, navigate, upgrade, nothing)
- How will you measure success? (Engagement rate, conversion, feature adoption, dismiss rate)
- What happens if the user misses this message entirely? (If nothing bad, consider whether you need it at all)
More from skenetechnologies/plg-skills
product-onboarding
When the user wants to design or improve new user onboarding -- including product tours, checklists, empty states, welcome flows, or progressive disclosure. Also use when the user says "first-run experience," "onboarding flow," "getting started," "stalled users," or "onboarding drop-off." For activation metrics, see activation-metrics. For signup optimization, see signup-flow-cro.
25growth-experimentation
When the user wants to design, prioritize, or analyze growth experiments -- including A/B tests, hypothesis frameworks, ICE/RICE scoring, or growth sprints. Also use when the user says "A/B test," "experiment design," "growth sprint," "experiment prioritization," or "statistical significance." For analytics setup, see product-analytics. For growth modeling, see growth-modeling.
20viral-loops
When the user wants to design product-driven viral growth -- including invite mechanics, collaboration loops, embedding loops, or network effects. Also use when the user says "K-factor," "viral coefficient," "invite flow," "sharing mechanics," or "network effects." For structured referral programs, see referral-program. For growth loop design, see growth-loops.
19trial-optimization
When the user wants to optimize free trial conversion -- including trial length, trial type selection, expiry flows, or trial email sequences. Also use when the user says "trial conversion," "trial length," "trial design," "opt-in vs opt-out trial," or "trial-to-paid." For activation, see activation-metrics. For feature gating, see feature-gating.
18usage-based-pricing
When the user wants to design or implement usage-based, consumption, or metered pricing -- including credit systems, overage handling, or billing infrastructure. Also use when the user says "pay per use," "metered billing," "credit system," "usage pricing," or "consumption pricing." For broader pricing strategy, see pricing-strategy. For expansion, see expansion-revenue.
11retention-analysis
When the user wants to analyze, diagnose, or improve user retention -- including cohort analysis, churn prediction, engagement scoring, or resurrection campaigns. Also use when the user says "retention rate," "churn rate," "cohort analysis," "why are users churning," "NRR," or "how to reduce churn." For engagement loops, see engagement-loops. For activation, see activation-metrics.
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