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Adding feedback manually in Pilea

How to create a feedback entry by hand, associate it with a customer, and what Pilea does with it automatically after you save.

Written by Simon Oliver
Updated over 2 weeks ago

Manual feedback entry lets you add any customer signal directly into Pilea: a quote from a call, something a customer said in a meeting, a complaint shared in Slack. Once saved, Pilea analyzes it automatically and links it to the right backlog item, exactly the same way it handles feedback from your integrations.

When to add feedback manually

Manual entry is useful when the signal didn't come through a connected integration:

  • A customer mentioned something during a sales call or demo

  • A colleague relayed feedback from a customer conversation

  • You spotted a comment in a chat thread or email

  • You're testing Pilea before connecting your integrations

πŸ’‘ Tip: If you regularly capture feedback this way, from calls or Slack threads, for example, connecting an integration will automate the process. See Choosing your first integration for where to start.
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How to add a feedback entry

  1. Click + in the top-right corner, then click Add feedback.

  2. Paste or type the customer's feedback in the Feedback field. Include the customer's actual words where possible. The AI uses the original phrasing when linking to backlog items.

  3. In the Customers field, search for and select the customer this feedback is from.

  4. In the Tags field, select the tag this feedback relates to.

  5. Click Add.

SCREENSHOT: The Add feedback form showing the Feedback text field, Customers selector, and Tags selector.

ℹ️ Note: Both Customers and Tags are optional, but linking feedback to a customer improves the accuracy of the priority score. Feedback without a customer still gets analyzed and linked to backlog items, but it will not contribute to revenue-weighted prioritization.

What happens after you save

As soon as you save a feedback entry, Pilea's analysis pipeline runs automatically. You don't need to trigger it manually.

Here's what happens:

  1. The AI reads the feedback and identifies the underlying product issue or feature request.

  2. A mention is created - a structured record of the feedback enriched with sentiment, classification, and a link to the relevant backlog item.

  3. The backlog item is updated. If a matching backlog item already exists, this feedback is added as a new mention and its priority score is recalculated. If nothing matches, Pilea creates a new backlog item.
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SCREENSHOT: A feedback entry in the Mentions list showing its processing status after being saved.

Processing typically takes a few seconds. You can see the status in the Mentions list - entries move from Received to Processed once the pipeline completes.

Viewing the result

Once analyzed, click the mention to open it. You'll see:

  • The Backlog item it was linked to

  • The sentiment Pilea detected

  • The classification (the category from your workspace's analysis framework)

SCREENSHOT: An open mention showing the linked backlog item, sentiment, and classification.

If the link looks wrong - for example, the feedback was matched to the wrong backlog item - you can change it manually by clicking the backlog item field and selecting a different one.

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