Refine your next big idea in a fraction of the time

Frequently Asked Questions

In simple terms, what is Productboard Spark?

Spark is a specialized product management agent that accelerates some of the most time-consuming aspects of taking an initial idea to a well-defined specification.

Product managers and other collaborators can interact with Spark through a conversational interface to explore product ideas, inquire into customer needs (based on actual customer requests and feedback), and generate documents like product briefs, product requirement documents (PRDs), user research reports, competitive intelligence, product launch materials, and more.

As an AI agent, Spark can create new documents and edit existing documents. These documents can then be collaborated over with colleagues and further refined with help from AI. Moving forward, they can then be used as context in future AI prompts. For example, you could prompt Spark to generate a product specification based on context drawn from your Product strategy doc, User personas doc, and PRD template.

How does Spark differ from other AI tools?

Unlike generic AI tools:

• Spark provides more relevant responses based on knowledge of your product, customers, and business. It can tap into a wealth of information your organization has captured in documents (product strategy docs, product briefs, user personas, competitive intelligence, company objectives, and more…) in addition to collected customer feedback.
• The collection of documents that Spark employs as context is not confined to a specific chat/session or even a given initiative. It persists from one initiative to the next and can be collaboratively refined by you and your colleagues (with help from Spark!). Anyone in the organization can then tap into this shared knowledge as context when submitting future AI prompts.
• As an agent, Spark does not just respond to queries. It can create new documents and revise existing ones. Revisions are displayed as tracked changes that users can accept/reject.
• You can use customizable document templates to guide Spark as it generates certain types of content — for example, to ensure Spark includes the right types of information when generating a product requirements doc.

Who can access Spark?

Spark is currently available to select Productboard users as part of an ongoing beta. You can join the waitlist from this page.

Note that during this phase of the beta program, current Productboard customers can only access Spark in a separate workspace outside the organization’s existing workspace.

What AI is used to power Spark?

Spark is powered by large language models by Anthropic and OpenAI. If you choose to use Productboard’s AI capabilities, you agree to Anthropic, OpenAI, and Amazon Bedrock being subprocessors of your data. For more information, please review Productboard’s list of subprocessors.

What data does Spark use?

Spark can access any documents you provide in your workspace in addition to customer feedback notes and associated data. In the near future, Spark will be able to access additional product data in your workspace to carry out more actions and provide more relevant responses.

Spark follows Productboard's standard security and privacy practices. Your data remains within your workspace and is not used to train external AI models.

Note that during this phase of the beta program, current Productboard customers can only access Spark in a separate workspace outside the organization’s existing workspace.

Have additional questions? Send us an email to hello@productboard.com