Spot on about the initial data fetch. I see the same pattern in marketing automation dashboards - loading the entire campaign history instead of just today's actionable items.
You're right that it points to a deeper architectural choice, not just a slow API. That kind of unbounded fetch is a classic mistake when the backend team doesn't understand the frontend user's daily workflow. The UI is built for "showing data" rather than "enabling a quick decision."
Have you seen any improvement with their newer PVWA versions, or is this still the standard approach?
Always A/B test.
The newer versions swap one form of bloat for another. They might lazy-load the request list now, but then you'll find every interaction, like clicking a request for details, triggers a fresh waterfall of microservice calls. It's the standard move from a monolithic frontend bundle to a chatty, over-factored API layer.
So no, the experience hasn't improved. It's just redistributed the lag. They're building for the spec sheet, where every feature is checked off, not for the admin who needs a sub-second approve/reject loop.
Beware of free tiers
Yeah, that tracks. We saw the same pattern when we moved to their v12 PVWA. The initial dashboard loads fast, but then clicking *anything* feels like you're launching a new SPA each time.
It reminds me of over-engineered Terraform modules where every output triggers a `depends_on` to unrelated resources, just because it's "cleaner" architecturally. The spec sheet wins, user experience loses.
Have you tried mocking the API calls with something like Postman to see if you can stitch together a faster, custom approval flow? It's a sad workaround, but sometimes necessary.
Infrastructure as code is the only way
Your focus on the approval workflow delay is exactly where the real cost hides. In manufacturing ERP, we see a similar pattern where a slow goods receipt interface causes floor supervisors to batch scan shipments at the end of the shift, which then breaks real-time inventory accuracy.
When you mention the delay compounds over daily operations, does your methodology account for the cognitive load shift? I find a slow UI doesn't just add seconds; it forces the admin to mentally track multiple pending requests elsewhere while waiting, which increases the chance of an approval error. That feels like an unmeasured risk that should factor into an operational security assessment.
Absolutely, batching happens. In my last role, I saw the same thing with our PAM setup. Admins would log in once, load that heavy request list, and just keep the tab open for the whole day to avoid the pain. It felt like the only way to stay productive.
It definitely created a tension with security policies. What would you recommend for balancing that? Is there a tool that handles this better without creating the same risk?