PostHog Newsletter
newsletter.posthog.com backs 15 GrowthDex tactics. This page exists so readers and crawlers can follow the evidence trail from source to tactic.
Original source
Cited GrowthDex tactics
- AI install wizard for 90-second setupTurn AI setup into a short guided wizard so a user can get from curiosity to first answer in about 90 seconds instead of ten wandering minutes.
- AI response rating with follow-up contextAsk users to rate AI responses and collect a short follow-up when they rate a result poorly so tuning work starts from real failures, not guesswork.
- AI vs non-AI activation benchmarkMeasure AI feature usage against the core product path and by customer segment so the team sees whether the AI is helping the right users or merely attracting the wrong curiosity.
- Async AI workflows with cached retriesPush heavier AI jobs into asynchronous workflows and cache the results so a retry does not force the model to redo expensive work.
- Layered context injection for AI answersFeed the model the user's current page state, schema, and account context before it answers so the AI can act like part of the product instead of a detached chatbot.
- MCP server before custom agentExpose the product through an MCP server first so developers can use it in their own agent workflows before you invest in a full in-app agent.
- Public handbook for real-company proofPublish a real handbook or operating manual on the main site when early buyers might doubt the company is serious, stable, or even fully real.
- Suggested prompts in the empty AI stateSeed the blank AI box with realistic starter prompts so users can borrow a good first move instead of freezing at an empty input.
- Task-based model routing for AI speedRoute lightweight jobs to smaller fast models and reserve larger models for harder reasoning so the product feels quick without giving up depth where it matters.
- Uncertainty, source, and progress cues in AI UIShow uncertainty, source grounding, and visible progress during AI tasks so users can judge whether the system is thinking clearly or just stalling.
- Weekly traces hour for agent qualityReview real AI traces in a standing weekly session and turn the sharpest failures and good catches into eval cases.
- Workflow-first AI demand validationStart with one narrow AI workflow that solves a repeated job, then expand into a broader agent only after users pull for adjacent use cases.
- Open-source alternative positioning for switcher searchPackage the product as an open-source alternative when the market already distrusts lock-in, so switchers can immediately recognize why it is different.
- Picked-up post sequel momentum loopIf one founder post or launch story gets picked up, write the next specific follow-up immediately instead of spreading effort across unrelated channels.
- Public handbook trust surfacePublish a surprisingly detailed public handbook or operating manual on the main site so early prospects can inspect how the company works before they trust the product.