Pilea is a feedback intelligence platform that helps product teams understand what customers actually need and prioritize what to build next. Connect your feedback sources, and Pilea automatically analyzes every signal and turns it into a prioritized backlog of product decisions your team can act on straight away.
How Pilea works
Pilea runs a continuous loop that turns raw customer signals into product decisions your team can ship. Here's the flow from start to finish.
Step 1: Feedback comes in
Every customer signal is a piece of feedback: a support ticket, a Slack message, a survey response, a sales call note. You bring it into Pilea by connecting your existing tools, importing a CSV, adding feedback manually, or running a survey. Pilea connects to Intercom, HubSpot, Slack, Notion and more. Every connection is set up once; after that, feedback flows in automatically.
SCREENSHOT: The Mentions list showing incoming entries with processing status, source and date.
Step 2: Pilea analyzes it automatically
When feedback arrives, Pilea's AI reads it and identifies the underlying product issue, feature request, job to be done and theme. This happens without any manual tagging or categorizing on your part.
The AI then links the feedback to a Backlog item: a structured record of that product problem or request. If a matching Backlog item already exists, the feedback is added to it as a new mention. If nothing matches, Pilea creates a new Backlog item.
SCREENSHOT: A mention open, showing the linked Backlog item.
Step 3: Your backlog reflects what customers actually say
The Backlog is Pilea's version of a product backlog, but every item is grounded in real customer feedback. Each item shows:
How many customers mentioned it
The combined deal size those customers represent
A priority score - a 0-100 number that factors in customer demand, deal size, sentiment and recency
Triage status
SCREENSHOT: The Backlog view with items listed, showing priority scores, customer mention counts, and deal size on each row.
ℹ️ Note: Customer signals expire. You decide when you want backlog items to be archived (we suggest 60 days). Archived backlog items reappear if Pilea's AI identify the same underlying customer problem or request in new incoming feedback.
Step 4: The priority score helps you decide what to build next
Instead of deciding by gut feeling or loudest voice, you can see which backlog items matter most to your customers.
The score is calculated from:
Customer breadth: how many distinct customers raised this issue
Mention volume: total feedback mentions, log-scaled so one loud customer doesn't dominate
Deal size (customers): the deal size of customers who mentioned it
Deal size (leads): deal size of prospects who mentioned it
Recency: how recently it was raised (older signals fade over time)
Sentiment: how negative the feedback is, used as a tiebreaker
All scores are relative to your own workspace data, not global benchmarks.
SCREENSHOT: A Backlog item open, showing the priority score breakdown panel with factor inputs visible.
💡 Tip 1: In settings you can decide the weight of the factor inputs (mention volume etc). For example you can set deal size to zero if deal size isn't relevant for how your company is prioritizing.
💡 Tip 2: You can always override the priority score manually. Because sometimes you know something the data doesn't.
Step 5: The Insight agents answers your questions
When you need to go deeper than the backlog, the Insights agents lets you ask questions in plain language to all of your data. Type "What are enterprise customers complaining about in onboarding?" and the Agents searches across your feedback, backlog, and customer data to give you a sourced answer.
SCREENSHOT: The input field you use to ask a question to Pilea's insight agent.
SCREENSHOT: An output showing inline references to backlog items and feedback.
Step 6: Developers pull ready-specced tasks into their coding agent
Pilea spec the backlog items automatically, and you can make edits if you want. Once a Backlog item has been prioritized and specced, your developers can pull it directly into their coding environment using Pilea's MCP integration. They get the full customer context - what users said, how many asked for it, and why it matters - without leaving their coding agent.
Pilea works with Cursor, Claude Code, VS Code, Windsurf, and any coding agent that supports the Model Context Protocol (MCP).
SCREENSHOT: Pilea being accessed from a coding agent.
What you'll use every day
Area | What it's for |
Mentions | All raw customer signals in one place |
Backlog | Structured, prioritized list of customer problems and requests |
Insights | Ask research questions, get sourced answers from your feedback |
Customers | Profiles showing all feedback linked to each account |
Surveys | Create surveys; responses flow into the Backlog automatically |
Integrations (sidebar) | Connect and manage your feedback sources |
💡 Tip: Not everyone needs to be in the backlog every day. Set up a weekly or monthly agent for leadership or others, a summary of top issues or trending feedback lands in their inbox automatically. They stay informed without needing to log in.