Large teams, complex roadmaps, and multi-stakeholder requirements create unique challenges. Decuga provides the structure, analytics, and documentation rigour that enterprise product organisations need.
Enterprise product teams face a different category of challenge to startups. Dozens of stakeholders sign off on requirements. PRDs must comply with internal documentation standards. Multiple squads work in parallel sprints with cross-team dependencies. Capacity planning needs to account for 20–50 people across time zones. And the cost of a poorly documented architecture decision is measured in months of rework, not days.
Decuga's AI PRD generator produces documents with the structured sections that enterprise review processes expect: problem statement, user stories with acceptance criteria, edge cases, success metrics, non-functional requirements, and open questions. Architecture documents include component diagrams, data flow, security considerations, scalability notes, and formal Architecture Decision Records (ADRs). These are not rough drafts — they are documents that pass review without extensive post-editing.
Decuga Business supports unlimited concurrent projects and 50 team members per account, with per-project sprint boards and shared analytics at the account level. Product leaders get a cross-project view of velocity, team workload distribution, and backlog health. Squad leads get their own scoped view of their sprint without noise from other teams.
Decuga Business unlocks the metrics that engineering managers and VPs of Product use to make staffing and roadmap decisions. Lead time (creation to completion), cycle time (first in-progress to done), sprint completion rate, scope creep count, predicted velocity based on trailing average, and per-engineer workload distribution. These are calculated automatically from sprint data — no manual data entry or BI tool required.
Lead Time
From task creation to completion — measures total time in your system
Cycle Time
From first In-Progress to Done — pure engineering throughput
Sprint Completion Rate
Committed story points vs. delivered — forecast accuracy metric
Scope Creep Count
Mid-sprint additions that blow delivery dates — early warning signal
Predicted Velocity
Trailing 3-sprint average — data for roadmap commitments
Many enterprise teams cannot migrate off Jira overnight. Decuga's Jira connector lets you import issues and epics into Decuga tasks, link them to AI-generated documents, and run your product planning layer in Decuga while engineering execution remains in Jira. Teams adopt Decuga incrementally without a big-bang migration.
Enterprise product teams that build internal platforms — developer tools, data platforms, HR systems — field support requests from internal users. Decuga's service desk with company account grouping is ideal here: internal "companies" map to business units, SLA rules enforce response time commitments, and the public portal gives internal users a self-service channel without requiring a dedicated Zendesk instance for each internal tool.
Enterprise software is notorious for per-seat pricing that turns a 50-person product org into a six-figure annual tool spend. Decuga takes a fundamentally different approach: flat account-level pricing. The Business plan at $57/month (₹5,000/month for Indian teams) includes up to 50 internal team members and unlimited projects — at a price point that would be a rounding error in an enterprise budget. Crucially, end users who raise support tickets through the helpdesk portal are not counted as team members — only your internal agents and PMs use a seat. For large organisations, Enterprise pricing with custom SLA, dedicated support, SSO, and on-premise options is available on request.
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