Generate insights reports with Productboard Pulse

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In today's data-driven world, even the most advanced enterprises struggle to unlock the full value of their customer feedback. The flood of data from countless channels can bury critical insights, leading to misaligned product strategies and missed opportunities within competitive markets.

Productboard Pulse's conversational AI helps you cut through the noise by responding to your prompts, answering follow-up questions, and generating a report based on your filters. You can then save that report as a document to be shared across your Productboard workspace. 

In this article:

Relevant to both new and legacy boards

Creating a report

To create an insights report using Productboard Pulse:

  1. Open any insights board.
  2. Adjust the board's filters to identify the subset of notes you want to include in the report. Feedback from any note which is excluded by the filter will not be analyzed.
  3. Click the Analyze button to open the Productboard Pulse sidebar.
  4. In the prompt field, describe how you'd like Productboard Pulse to craft the report, or choose a pre-defined prompt from the dropdown. 
  5. (Optional) After the AI has finished writing its response, type another question into the prompt field to have it respond again. For example, you could ask it to identify the most important pain point out of the ones it listed previously.

Saving and sharing a report

When you're done prompting the AI and have everything you need, you can save the output as a document like so:

  1. Click Save at the top of the report (not the top of the board).
  2. The report will be saved as a new board in the same teamspace as the insights board you just analyzed, and will have a title similar to "Analysis of [original insights board]". For more information on working with documents, see Collaborate on documents within Productboard.

Use case examples

There are tons of ways you could use Productboard Pulse's report generation. Here are two examples of how you could configure your filters to help you tackle specific use cases.

Quarterly Voice of Customer reports

Review last quarter's feedback to help you prepare this quarter's plan by setting your time filter to catch all notes created in the last 90 days. If you have segments, consider creating an insights board for each segment for comparison.

Post-release evaluations of qualitative feedback

Once enough time has passed after you release a feature, it can be helpful to review what people have been saying about it.

First, set your time filter to the date of the release.

Then, create a filter to help you corral notes related only to the feature in question. There are a few different ways to approach this depending on your situation

  1. If you're really good about linking feedback to features as it comes in, you can use a Hierarchy filter to grab all notes that have been linked to the feature you're investigating.
  2. If you're a little behind on linking insights but you have a robust tagging system, you can filter for tags related to the feature. This will catch notes even if they haven't been processed yet. 
  3. If you don't have a solid tagging system down yet, you could create a Content filter and give it keywords related to the feature in question. This will surface notes that contain some, all, or none of the keywords, according to your settings. 

See Filter the Insights board to find relevant feedback for more on filtering.

Current limitations

  • Our AI models work only with the content of feedback notes. They don’t yet have knowledge about note attributes like tags, company/user, date created, owner, state, and so on. This means that such information cannot currently be used to prompt the AI, which is why you must use filters to set your analysis parameters for now.
  • We do not yet show the note references for each bullet generated in the AI output, but this is something we are actively working on. This would allow you to see the notes that were used to support each bullet.

See also

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