Dataface Tasks
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    Quality and performance improvements

    IDM5_V1_2_LAUNCH-CLOUD_SUITE-02
    Statusnot_started
    Priorityp1
    Milestonem5-v1-2-launch
    Ownerui-design-frontend-dev

    Problem

    The Cloud Suite's sharing and collaboration features have accumulated performance and quality issues that affect user experience — slow page loads for dashboards with many charts, latency in project sync operations, and UI inconsistencies across the collaboration workflow. These issues are known from instrumentation and user reports but have not been systematically addressed. Without targeted quality and performance improvements tied to measurable user-facing outcomes (load time, error rate, task completion rate), the product's perceived reliability will lag behind feature growth.

    Context

    • Once hosted onboarding, collaboration, and account/project workspace UX is in regular use, quality and performance work needs to target the actual slow, flaky, or costly paths rather than generic optimization ideas.
    • The right scope here is evidence-driven: identify bottlenecks, remove the highest-friction issues, and make sure the fixes are measurable and regression-resistant.
    • Expected touchpoints include apps/cloud/, templates/browser flows, auth/account docs, and cloud tests, telemetry or QA evidence, and any heavy workflows where users are paying the cost today.

    Possible Solutions

    • A - Tune isolated hotspots as they are reported: useful for emergencies, but it rarely produces a coherent quality/performance program.
    • B - Recommended: prioritize measurable bottlenecks and quality gaps: couple performance work with correctness and UX validation so improvements are both faster and safer.
    • C - Rewrite broad subsystems for theoretical speedups: tempting, but usually too risky and poorly grounded for this milestone.

    Plan

    1. Identify the biggest quality and performance pain points in hosted onboarding, collaboration, and account/project workspace UX using real usage data, QA findings, and support feedback.
    2. Choose a small set of improvements with clear before/after measures and explicit user-facing benefit.
    3. Implement the fixes together with regression checks, docs, or operator notes wherever the change affects behavior or expectations.
    4. Review the measured outcome and turn any remaining hotspots into sequenced follow-up tasks instead of leaving them as vague future work.

    Implementation Progress

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