Product
9 use cases, 3 specialists
Product manager
AI for writing a product requirements document
Draws up a requirements document from a description of the task: the user problem, goals and metrics, what is out of scope, and user stories with acceptance criteria.
Go-to-market plan for a new product with AI
Prepares a launch plan for a new feature or product: who it is for, the main message, a pre-launch to-do list, success criteria, and the conditions under which the launch is rolled back.
AI agent for evaluating launch results
Compares metrics before and after the launch with the goals from the requirements and writes a short report: what worked, what did not, and what to do next.
Sprint planner
RICE task prioritization with AI
Rates a list of tasks by reach, impact, confidence, and effort, calculates the scores, and sorts the list, marking quick wins and tasks that would eat up time for nothing.
AI assistant for sprint planning
Selects tasks for the upcoming sprint based on team availability and past velocity, with a buffer for uncertainty, and formulates the sprint goal.
User stories and acceptance criteria: AI agent
Breaks a large task down into user stories with acceptance criteria and marks the dependencies between them.
Behavioral design specialist
Notification and reminder texts for users with AI
Works out when and through which channel to remind a user about an unfinished task and writes texts with one clear next step.
AI for user onboarding in an app
Breaks product setup into short, manageable steps and writes hints and supportive messages for each step.
Game mechanics in an app with AI
Suggests game mechanics and rewards for completed actions, along with an experiment plan to test whether the share of completed actions grows.