Stop flooding your backlog: a pre-backlog workflow that actually sticks
Why your backlog shouldn't be an inbox, the three-stage flow (Capture → Shape → Commit) and common anti-patterns.
Stop manually managing improvement ideas and customer feedback in scattered post-it notes or losing them in email threads. Avoid growing the endless list in your backlog.
Drop emails, documents and notes into Droplyn Board for pre-backlog / discovery phase processing. Our AI harvests ideas, detects duplicates and helps you visually organize, clarify and prioritize before anything is exported to your backlog.
Droplyn Board is a visual pre-backlog and discovery phase tool for Product Managers, Product Owners, Service Managers, Innovation Managers and Service Designers: those who want to keep their backlog clean and manage ideas and customer feedback effectively.
Forward mails, drag files, paste text, hit a webhook, or publish a feedback form directly to your stakeholders. Droplyn's AI extracts the actual requests and the rationale behind them.
Droplyn auto-clusters and detects duplicates with AI. Prioritize and tag themes in a few clicks.
Enrich the ideas with your reasoning and export only the relevant ones to Jira, ADO, Planview, Excel or other tool of your choice. Everything else stays searchable in Droplyn.
A lightweight, visual, AI-assisted workspace for the discovery / pre-backlog stage — before issues reach your backlog and plans. The easiest way to drop in material and move from raw signals to clear decisions.
Practical patterns you can copy. Each starts with the same advantage: drop material in instantly and let AI sort the noise.
Collect signals from support, sales and customers, de-dupe with AI, and shape problem statements before they become backlog items.
Forward raw feedback to Droplyn, have the AI find the ideas and requests, auto-route to themes and export only validated requests.
Replace complex forms with a visual board people actually use. Have them forward email directly to Droplyn, and let the AI find the ideas and requests.
Deep dives into the pains we solve — and how to run better discovery with lean, visual workflows.
Why your backlog shouldn't be an inbox, the three-stage flow (Capture → Shape → Commit) and common anti-patterns.
What's the role of AI in your discovery process? How to combine AI suggestions with product judgment.