Frequently Asked Questions

How is Specky different from Notion?

Notion is a flexible, general-purpose document editor. Specky is purpose-built for product management. The key differences:

• Connected to your tools — Specky pulls signals from Slack, Jira, GitHub, and Gong automatically. Notion requires manual copy-paste.
• Evidence-grounded AI — When Specky generates a PRD section, it cites the specific Slack threads, Jira tickets, and call transcripts that support it. Notion's AI generates text without any connection to your real product data.
• Product-specific structure — Specky has dedicated views for Opportunity Trees, Decision Logs, Stakeholder Maps, and Roadmaps. Notion requires you to build and maintain these structures yourself.
• Execution bridge — Specky pushes requirements directly to Jira, Linear, GitHub, Trello, or Shortcut as tickets. Notion has no equivalent.

If you already use Notion for general team documentation, Specky complements it — use Specky for product thinking and discovery, Notion for everything else.

How is Specky different from Jira?

Jira is an engineering execution tool — it tracks what engineers are building and the status of that work. Specky is a product thinking tool — it's where you figure out what to build and why.

The workflow is: Specky → Jira, not either/or.

• In Specky: discover insights, prioritize opportunities, write PRDs, log decisions
• In Jira: track the engineering work that executes on those decisions
• The Execution Bridge keeps them in sync — push requirements from Specky to Jira in one click, and changes to requirements propagate to tickets automatically

How is Specky different from ChatGPT?

ChatGPT is a general-purpose AI assistant with no knowledge of your product. Specky's AI is grounded in your actual product data — your Slack conversations, Jira tickets, customer interviews, and past decisions.

When you ask Specky "What are the top pain points in our checkout flow?", it searches your real data and cites specific sources. ChatGPT would generate a plausible-sounding answer with no connection to your actual customers.

Specky also has product-specific structure (PRD templates, Opportunity Trees, Decision Logs) that ChatGPT doesn't provide.

Is my data secure?

Yes. Security is a core part of how Specky is built:

• Encryption at rest — Supabase manages encryption for the database and storage; integration secrets use Specky's AES-256-GCM wrapper when the production encryption key is configured
• Encryption in transit — All connections use TLS 1.3
• SOC 2 — Our controls are mapped to the SOC 2 Trust Service Criteria and the independent Type II audit is in progress. Security documentation is available for enterprise evaluation.
• No AI training — Your data is never used to train AI models, by Specky or any third-party AI provider
• Data residency — Workspace data is hosted in the configured Supabase region; the EU deployment uses Frankfurt. AI inference currently runs through Google Gemini in the US
• Access controls — Workspace-level permissions with owner, admin, member, and document-sharing roles
• Integration permissions — You control exactly which Slack channels, Jira projects, and GitHub repos Specky can access

See our Privacy Policy and Terms of Service for full details.

What AI model does Specky use?

Specky uses Google Gemini as its primary AI model, with model selection optimized per task:

• Google Gemini models — Specky selects the current Google Gemini model for the task, balancing speed, context, and output quality. Model identifiers can change as providers update their offerings.

You can configure your preference in Settings → AI — choose between "Faster" (Flash) and "Higher quality" (Pro). The default is automatic selection based on the task.

Specky does not use your data to fine-tune or train any AI models.

How do integrations work?

Integrations use OAuth 2.0 to securely connect to your tools. Here's the full flow:

1. Authorization — You click "Connect" and authorize Specky in the tool's OAuth flow. Specky never sees your password.
2. Initial sync — Specky indexes your historical data (up to 90 days back, configurable).
3. Ongoing sync — New data syncs every 5 minutes via webhooks or polling, depending on the integration.
4. Signal extraction — Specky's AI classifies each piece of data as a signal (bug report, feature request, complaint, praise, etc.) and links it to the relevant product area.
5. Search and analysis — Signals are indexed for semantic search and available to all AI features.

You control which data is synced — specific Slack channels, Jira projects, GitHub repos, etc. You can disconnect an integration at any time, which removes all synced data from Specky.

See Integrations Overview for setup instructions.

How much does Specky cost?

See our Pricing page for current plans and pricing. All plans require a card up front; the first charge is deferred until day 14.

Can I use Specky with my existing tools, or do I have to switch?

Specky is designed to work alongside your existing tools, not replace them. The typical setup:

• Keep using Slack for team communication — Specky reads it for signals
• Keep using Jira, Linear, GitHub, Trello, or Shortcut for engineering execution — Specky pushes requirements to them
• Keep using Notion or Confluence for general documentation — Specky focuses on product-specific documents
• Use Specky for discovery, prioritization, PRDs, decisions, and strategy

What happens to my data if I cancel?

If you cancel your Specky subscription, you have 30 days to export your data. After 30 days, your data is permanently deleted from our servers. We provide a full data export in JSON and Markdown formats.

How do I get support?

• In-app help — Click the ? icon in the bottom-left corner to open the help center
• Email support — customer-support@specky.space — we respond within 1 business day
• Docs — You're already here. Use the search bar at the top to find answers quickly.