You can use Productboard Spark to work directly with the feedback you collect from your customers. Spark can significantly enhance your ability to analyze this feedback and extract actionable information from it.
This article will teach you how to effectively work with customer feedback in Spark.
In this article:
Storing all your collected feedback in Spark will allow it to use it as further context when chatting or creating documents.
Bringing feedback into Spark
You can get feedback into Spark using a variety of methods, all of which are identical to how you'd do it in a regular (non-Spark) Productboard workspace. You can:
- Create feedback manually.
- Import feedback from a spreadsheet.
- Forward emails into Spark.
- Push messages from Slack or Teams.
- Import feedback via an integration with another tool like Zendesk, Intercom, or Zapier.
- Integrate with various other tools.
Using feedback as context
Once your feedback is in your Spark workspace, you can start referencing it in your chats. The best way to do this is to use filters to group feedback together and then save that feedback to its own insights board. To do so:
- From the Main menu, click Library > Feedback to see all feedback across the workspace.
- In the header, click Filtered by.
-
Select the filters you'd like. See Filter insights boards to find relevant feedback for details.
Note: Currently, Spark can analyze insights boards of around 300 to 500 feedback items without slowing down. Any more than that and you might have to wait a bit longer for it to finish its analysis.
- Click the dropdown arrow on Save > Save as new.
- Give your new board a name.
- (Optional) Move your new board from your Personal space into a teamspace if you want others to be able to use it.
- With the board open, go up to the Global header and click the Spark AI button to start a new prompt using the currently-open board as context.
- (Optional) Click Context or @-mention other documents or insights boards in your prompt to provide additional context. You don't need to explicitly add information that's already in Agent Knowledge.
- Submit the prompt to Spark and wait for it to respond. Repeat as needed.
Video series: Feedback in Spark
Here are a few videos that explain and expand on the concepts outlined above.
Importing your customer feedback
In this video, we walk you through how to effectively bring your feedback into Productboard and make it available for use with Spark. You'll learn how to create new feedback, utilize tags for better filtering, and upload bulk feedback via CSV or integrations with tools like Slack and G2 reviews. Once your feedback is in Productboard, we'll show you how to create an insights board to analyze specific subsets of feedback using filters, such as tags from user interviews.
Identifying insights in feedback
In this video, we talk about how to summarize research into key insights using Spark. You'll learn how to analyze customer interviews to identify pain points and opportunities. Then, we'll review our research objectives against the findings to ensure we've met our goals and identify any necessary follow-up research.
Surfacing specific user insights across lots of feedback
In this video, you'll learn how to effectively use Spark to search for customer insights, particularly when looking for specific feedback or quotes. You'll also see how to identify a customer who has negative feedback and create a set of interview questions to delve deeper into their concerns.