Spark pricing and billing FAQ

Full access to current Spark capabilities, including:

• Conversational AI workspace and document editing.
• Agentic Jobs such as Product Brief, Feedback Analysis, and Competitor Analysis.
• Context management and document templates.
• Pre-built integrations to Notion, Google Drive, Confluence, Zendesk, Intercom, and many other customer feedback tools.
• MCP connectors to tools like Amplitude, Linear, Notion, Pendo, Hex, and any other software tool with an existing MCP server.

Standalone Spark pricing is based on a per-maker basis:

• Monthly plan: $19 per maker per month.
• Annual plan: $15 per maker per month.

Each paid maker seat includes 250 AI credits per month, which are pooled across your entire workspace. For example, if you have 3 makers, you get 750 credits per month that your whole team can share.

Spark is designed so that a typical paid maker can complete about 4–5 AI-driven operations per month (such as PRD creation, competitive analysis, product briefs, etc.), plus extra exploration.

For more on credits, see AI credit information below.

When you first sign up for Spark, you’ll start on a trial:

• Your workspace gets a one-time pool of 150 credits, shared across all makers.
• There is no fixed end date for the trial. Your trial effectively ends when you’ve used up the 150 credits.

Trial credits do not expire and are not renewed each month. Once you've used your 150 trial credits, you'll still have access to your workspace, documents, and notes, but you won't be able to use any AI features. To regain access to Spark's AI capabilities, you'll need to upgrade to a paid plan.

Trial credits do not carry over into a paid subscription—when you upgrade, you'll start with your plan's base credits on your first renewal date.

If you need more credits before your renewal date, you can purchase credit top-ups. Top-ups are only available on paid plans—trial users must upgrade to a paid plan to purchase additional credits.

Monthly Plans

• 50-credit bundles: $5/month per bundle
• Minimum purchase: 1 bundle (50 credits)
• You select the quantity of bundles you need

Annual Plans

• 600-credit bundles: $60/year per bundle
• Minimum purchase: 1 bundle (600 credits)
• Credits are distributed monthly in 50-credit increments

Pro-rating

If you purchase credit top-ups mid-period, both the cost and the credits are pro-rated for that initial monthly period. All credits—base and add-on—expire on your monthly subscription renewal date.

Tip: Plan ahead for credit-intensive projects. If you know you'll need extra capacity for a major initiative, purchase top-ups early in your billing cycle.

Credits power all AI interactions in Spark. Any time you use AI in Spark—for example, to generate or edit a document, or to run an analysis—you spend credits.

• On a paid plan, each maker seat includes 250 credits per month, pooled for the workspace.
• On a trial, your entire workspace gets a one-time pool of 150 credits total.

Once your workspace runs out of credits, you’ll still be able to open Spark, see your workspace, documents, and notes, but you won’t be able to use the AI features again until credits reset (once per month on paid plans) or you buy more (see Top-ups).

The number of credits a task uses depends on how complex it is. Here are typical ranges:

In practice:

• The 150‑credit trial is designed to support one or two full, end‑to‑end product operations (like creating a product brief or running a competitive analysis) plus some additional exploration.
• The 250 credits per maker per month on the paid plan should be enough for four or five major operations per month plus additional exploration, using your share of the pooled credits.

All credits in your workspace are pooled—they aren't assigned to individual makers. This means any maker in your workspace can use any of the available credits.

For example, if your workspace has 3 makers on a paid plan, you'll have 750 credits total per month (3 makers × 250 credits) for your team to use collectively.

Tip: Credit pooling makes it easy for your team to collaborate. Makers who focus on research-heavy tasks can use more credits while others use fewer, and it all comes from the same pool.

After you are fully out of credits:

• You will not be able to use the chat agent.
• You will not be able to use any other AI features.
• You keep access to your workspace, documents, and notes.

This will persist until your credits reset on your next renewal date or you purchase additional credit top-ups.

You’ll see banners inside Spark when your credits are low or depleted, explaining your status and how to buy more. Admins will also receive emails when credits are low or have run out.

If you start a task and your workspace runs out of credits in the middle:

• That task will still finish, even if it takes you slightly over your current credit limit.
• We do not deduct that overage from future months’ credits at this time.

For trial workspaces:

• Trial workspace credits don’t expire on a schedule, but:
  • They are a one-time allocation of 150 credits total.
  • They don’t renew each month.
  • They don’t roll over into a paid subscription.

For paid Spark plans:

• All credits—both the 250 per maker included and any add-on/top-up credits—expire each month on your subscription renewal date.
• On the renewal date, your credit balance is reset for the new month.

For credit top-ups

• Top-up credits follow the same monthly reset as your base credits.
• They expire on your monthly renewal date, even if you bought them mid-cycle.
• If you buy top-ups partway through your billing period:
  • Both the price and the number of credits are pro-rated to match the time remaining until your renewal date.

In your Spark workspace, from the Main menu, click Settings > Billing to review credit usage charts and remaining balance. This gives you a concrete view of how your typical workflows translate into credits.

Spark does not have a free or "Starter" plan. If you're on a trial and use all your credits without upgrading to a paid plan, you'll retain access to your workspace and documents, but you won't be able to use any AI features until you purchase a paid subscription.

To cancel your Spark subscription, email support@productboard.com with your request. Our support team will process your cancellation and answer any questions about your account.

After cancellation, you'll still have access to your workspace, including documents and notes, but you will no longer have access to the chat agent or any other AI features.

For now, your workspace is not automatically deleted after cancellation; it remains available in case you wish to return and reactivate it by purchasing Spark again.

If Spark fails and you're charged credits for a task that didn't complete successfully, you can request a credit refund by emailing support@productboard.com.