Playbook
Use AI to to gather data from various sources and create comprehensive product artifacts like PRDs and user stories.
Sources
Jira
Linear
Notion
Getting started
Creating product artifacts like PRDs and user stories based on actual data ensures that your product development is aligned with user needs and feedback.
Generating and managing these artifacts manually can be time-consuming and complex.
In this playbook, we'll show you how to use Lancey's platform to collect data from various sources and create detailed product artifacts.
Step 1: What you'll need
You'll need access to Lancey's Merlin agent.
Connect to your product docs, product analytics, call transcripts, support tickets, and project tracking platforms within Lancey's integration tab.
Get access to Lancey
Step 2: Setting up filters
Once Merlin is set up, it will automatically collect data from all integrated sources. We'll leverage Lancey's ability to query, segment, and act on the data for the next steps.
For example, you might be interested in identifying all user feedback and requests related to a specific feature.
Prompt
Collect all examples where customers complained they needed an easier way to track their receipts.
Lancey will analyze your data set and provide a preview of relevant user feedback and requests.
Step 3: Analyzing and creating artifacts
Now that we have identified relevant user feedback and requests, the next step is to analyze this data to create comprehensive PRDs and user stories.
For example, you might want to focus on features that have received the most user feedback and have a high potential for improvement.
Prompt
Analyze the user feedback and create PRDs and user stories based on the identified data.
Merlin will provide an analysis of the data, showing patterns and trends, and generate drafts of PRDs and user stories.
Wrapping up
And we're all done here! Get back to building great products. We also have other playbooks you can explore.
