Dataface Tasks

M5 v1.2 Launch

Due Nov 30, 2026

Planned1 / 39 (3%)
Exit criteria (0/4)
  • v1.2 release with measurable depth and reliability improvements.
  • Expanded connector/dashboard coverage with better template conversion.
  • AI/context workflows become dependable production flows.
  • Enterprise readiness gaps prioritized and partly closed.
KPI targets (0/3)
  • Retention/expansion improve vs v1.0 baseline.
  • Usage depth per account trends upward.
  • Critical incident rate reduced vs v1.0 window.

Tasks by Workstream

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dft core (Sr Engineer Architect)

v1.2 delivers meaningful depth improvements in the YAML contract, compiler/normalizer, execution adapters, and release/versioning based on observed usage and retention signals, not just roadmap intent. Enhancements improve real customer outcomes, and release readiness is demonstrated through metrics, regression coverage, and clear migration guidance where relevant.

cloud suite (UI Design and Frontend Dev)

v1.2 delivers meaningful depth improvements in hosted user experience for onboarding, sharing, collaboration, and account/project flows based on observed usage and retention signals, not just roadmap intent. Enhancements improve real customer outcomes, and release readiness is demonstrated through metrics, regression coverage, and clear migration guidance where relevant.
  • Quality and performance improvements — Ship measurable quality/performance improvements in sharing and collaboration surface tied to user-facing outcomes.
  • v1.2 depth expansion — Deliver depth expansion in workspace and onboarding UX prioritized by observed usage and retention outcomes.
  • v1.2 release and migration readiness — Prepare v1.2 release/migration readiness for account/project lifecycle flows, including communication and upgrade guida…

inspect profiler (Sr Engineer Architect)

v1.2 delivers meaningful depth improvements in warehouse profiling, semantic inference, and analyst-facing data context surfaces based on observed usage and retention signals, not just roadmap intent. Enhancements improve real customer outcomes, and release readiness is demonstrated through metrics, regression coverage, and clear migration guidance where relevant.
  • Quality and performance improvements — Ship measurable quality/performance improvements in semantic inference and context quality tied to user-facing outcomes.
  • v1.2 depth expansion — Deliver depth expansion in profiling pipeline prioritized by observed usage and retention outcomes.
  • v1.2 release and migration readiness — Prepare v1.2 release/migration readiness for analyst-facing inspector experience, including communication and upgrade g…

mcp analyst agent (Data AI Engineer Architect)

v1.2 delivers meaningful depth improvements in AI agent tool interfaces, execution workflows, and eval-driven behavior tuning based on observed usage and retention signals, not just roadmap intent. Enhancements improve real customer outcomes, and release readiness is demonstrated through metrics, regression coverage, and clear migration guidance where relevant.

ft dash packs (Data Analysis Evangelist and AI Training)

v1.2 delivers meaningful depth improvements in connector-specific dashboard packs and KPI narratives for Fivetran sources based on observed usage and retention signals, not just roadmap intent. Enhancements improve real customer outcomes, and release readiness is demonstrated through metrics, regression coverage, and clear migration guidance where relevant.

ide extension (Head of Engineering)

v1.2 delivers meaningful depth improvements in analyst authoring workflow in VS Code/Cursor with preview, diagnostics, and assist based on observed usage and retention signals, not just roadmap intent. Enhancements improve real customer outcomes, and release readiness is demonstrated through metrics, regression coverage, and clear migration guidance where relevant.

chart library (rj)

v1.2 delivers meaningful depth improvements in visual language, chart defaults, interaction behavior, and differentiated styling based on observed usage and retention signals, not just roadmap intent. Enhancements improve real customer outcomes, and release readiness is demonstrated through metrics, regression coverage, and clear migration guidance where relevant.

context catalog nimble (Data AI Engineer Architect)

v1.2 delivers meaningful depth improvements in context schema/catalog contracts and Nimble enrichment flows across product surfaces based on observed usage and retention signals, not just roadmap intent. Enhancements improve real customer outcomes, and release readiness is demonstrated through metrics, regression coverage, and clear migration guidance where relevant.

dashboard factory (Data Analysis Evangelist and AI Training)

v1.2 delivers meaningful depth improvements in repeatable process for producing, reviewing, and publishing quickstarts/examples based on observed usage and retention signals, not just roadmap intent. Enhancements improve real customer outcomes, and release readiness is demonstrated through metrics, regression coverage, and clear migration guidance where relevant.
  • Quality and performance improvements — Ship measurable quality/performance improvements in quality rubric + review process tied to user-facing outcomes.
  • v1.2 depth expansion — Deliver depth expansion in template production pipeline prioritized by observed usage and retention outcomes.
  • v1.2 release and migration readiness — Prepare v1.2 release/migration readiness for publication throughput operations, including communication and upgrade gui…

infra tooling (Sr Engineer Architect)

v1.2 delivers meaningful depth improvements in developer tooling, local workflow reliability, and deployment execution safety based on observed usage and retention signals, not just roadmap intent. Enhancements improve real customer outcomes, and release readiness is demonstrated through metrics, regression coverage, and clear migration guidance where relevant.

integrations platform (Head of Engineering)

v1.2 delivers meaningful depth improvements in deployment, billing, 5T connectivity, and operational reliability/launch integration based on observed usage and retention signals, not just roadmap intent. Enhancements improve real customer outcomes, and release readiness is demonstrated through metrics, regression coverage, and clear migration guidance where relevant.
  • Quality and performance improvements — Ship measurable quality/performance improvements in billing/connectivity operations tied to user-facing outcomes.
  • v1.2 depth expansion — Deliver depth expansion in platform deployment/integration path prioritized by observed usage and retention outcomes.
  • v1.2 release and migration readiness — Prepare v1.2 release/migration readiness for reliability + launch operations, including communication and upgrade guida…