# Personify > Personify is the user-needs operating system for cross-functional product teams. Where other tools organize product work by features, tickets, and sprints, Personify organizes it by users and their needs. It turns customer conversations into user needs (job stories), needs into experiments, and experiments into learning the whole team keeps. Personify is built for product pods — the product manager, designer, and engineer who talk to users and ship experiments together. Core capabilities: AI synthesis of customer transcripts into personas and job stories, experiment recommendations from goals and metrics, live experiment reporting, a shared experiment data dictionary, and public share pages for experiments, personas, and learnings. Integrations include Figma, GitHub, Slack, PostHog, Mixpanel, and Amplitude. ## Product - [What Personify does](https://www.personifyhq.com/): Homepage — the user-needs OS for product teams. - [Transcripts to job stories](https://www.personifyhq.com/features/transcript-to-job-stories): AI synthesis from customer calls to experiment-ready job stories. - [Experiment recommendations](https://www.personifyhq.com/features/experiment-recommendations): Experiment ideas from goals, funnel stages, and metrics. - [Live experiment reporting](https://www.personifyhq.com/features/live-experiment-reporting): Track running experiments and roll up learnings. - [Experiment data dictionary](https://www.personifyhq.com/features/experiment-data-dictionary): Shared experiment types, metrics, dimensions, and events. - [Pricing](https://www.personifyhq.com/pricing): Priced on experiments closed per month — unlimited seats on every plan, with a 30-day full-access reverse trial. ## Templates - [Product Experiment Kit](https://www.personifyhq.com/templates/product-experiment-kit): Free Notion kit for continuous product experimentation. - [Job story template](https://www.personifyhq.com/templates/job-story-template): Turn interviews into job stories. - [Experiment brief template](https://www.personifyhq.com/templates/experiment-brief-template): Shape experiments as a pod. ## Product Kit resource library - [Metric definitions](https://www.personifyhq.com/productkit/metrics): Plain-language definitions of product metrics (CAC, LTV, NPS, churn, activation, and more). - [Research & experiment methods](https://www.personifyhq.com/productkit/methods): How-to references for research and experimentation methods like A/B testing and user interviews. ## Guides - [Product triad experimentation](https://www.personifyhq.com/guides/product-triad-experimentation): How pods of product, design, and engineering run experiments. - [Customer interviews to experiments](https://www.personifyhq.com/guides/customer-interviews-to-experiments): The path from observation to insight to hypothesis to experiment. ## Comparisons - [Personify vs Notion](https://www.personifyhq.com/comparisons/personify-vs-notion) - [Personify vs spreadsheets](https://www.personifyhq.com/comparisons/personify-vs-spreadsheets) - [Personify vs research repositories](https://www.personifyhq.com/comparisons/personify-vs-research-repository)