Source-linked evidence
Bring in sales calls, support tickets, research, and product data, then keep each pattern tied to its customer, account, source, and result.
Zentrik Loops è una piattaforma per i flussi di lavoro di prodotto che aiuta i team a portare le evidenze dei clienti da chiamate e ticket fino alle decisioni di prodotto, alla consegna e all’apprendimento. Offre piani basati sugli spazi di lavoro e una prova di 14 giorni per valutarla.
Zentrik Loops is a product workflow platform that turns customer signals into an inspectable loop from learning to delivery and back again. The page describes the workflow as Learn, Decide, Define, and Build, with AI structuring evidence while the team retains the product decision.
It is designed to keep the customer reason attached as work moves across calls, tickets, research, Jira, specifications, prototypes, and AI builders. The pricing page shows workspace-based plans for teams of different sizes, plus an enterprise path for larger organizations that need broader controls and rollout support.
Bring in sales calls, support tickets, research, and product data, then keep each pattern tied to its customer, account, source, and result.
Compare opportunities and ideas while making the owner, tradeoff, constraint, and proof threshold explicit before scope hardens.
Turn the chosen outcome into a buildable brief that includes boundaries, checks, and non-goals.
Carry approved context into initiatives, Jira, specifications, prototypes, and AI builders so the reason stays attached to the work.
Start with one decision and return what shipped back into the next learning pass, so the product team can keep the loop running.
Use workspace-based plans that vary by active initiatives, signal volume, delivery sync depth, shared context refresh, and security controls.
Start with a real product question, review the strongest evidence behind it, and make the next decision visible before work is committed.
Use customer calls, support tickets, research, and product behavior to surface repeated needs and compare candidate opportunities with the commercial context attached.
Create a buildable brief with outcomes, constraints, proof thresholds, and non-goals so the team can hand work off without losing the original reason.
Send approved context into Jira, specifications, prototypes, and AI builders so engineers and assistants work from the same brief.
Use the workspace model, security controls, and rollout support when product, engineering, sales, support, and leadership need a shared planning context.
Zentrik Loops is a workflow that carries customer evidence from calls, tickets, research, and product data through decision-making, definition, delivery, and learning. The product page frames it as a loop rather than a static repository, so the intent stays attached as work moves forward.
The site says teams can keep their existing tools where work already happens. Zentrik connects the customer and product context that is often split across calls, tickets, documents, Jira, prototypes, analytics, and AI builders.
No. The page states that the team owns the decision. Zentrik uses AI to find patterns, structure evidence, and prepare work, while people decide what matters and which tradeoffs to accept.
The pricing page says every new workspace starts with a 14-day trial on Scale limits. Teams can also start with the workspace workflow and move into planning, delivery, and rollout from there.
The pricing page indicates per-workspace plans with options for different amounts of active initiatives, signal volume, delivery sync depth, and security controls. Team and Scale can add live integrations, and Enterprise is scoped separately for larger organizations.
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