What people keep running into with software adoption
Complaints tagged software adoption, each raised by more than one person. One-off posts are not included.
11 recurring problems · 147 people · 19 forums we read
Raised more than once
Most people first.
- 46How to deal with uncooperative coworkers who don't do their workCarrying the entire workload while teammates remain checked out, confused, or completely unresponsive turns your job into exhausting babysitting instead of actual project management. Constantly chasing people for updates and reminding them of deadlines leaves you overwhelmed and forced to manage adults who refuse to take responsibility for their tasks.
- 33Should customer support live inside our CRM?Deciding whether to connect support tickets directly to existing sales data creates friction between specialized tools and unified platforms. This leaves teams struggling to figure out if integrated data actually improves daily operations or if it just sounds good in theory.
- 15Why is enterprise work software so frustrating to use?Enterprise platforms like Salesforce and mandatory internal AI tools are so slow and poorly designed that employees are abandoning them for physical planners. Instead of helping daily operations, these bloated systems add friction and useless metrics that stall actual work.
- 12Why is there no CRM with native AI insights out of the box?Existing platforms lack comprehensive integration for advanced automation, native AI capabilities, and cross-platform communication without requiring expensive custom development. This forces users to abandon all-in-one solutions and struggle to piece together multiple disconnected tools.
- 10Why is setting up NetSuite so confusing?Enterprise software implementations overwhelm business owners because standard setups require navigating complex configurations like charts of accounts and subsidiaries without adequate guidance. This mismatch leads to poor user adoption, unexpected design misalignment, and forces leaders to spend hours troubleshooting analytics instead of running their business.
- 10How to actually use AI for IT work instead of just hypeMost discussions about artificial intelligence rely on vague hype rather than concrete, day-to-day applications. System administrators and IT professionals struggle to figure out what can actually be automated because consultants don't have answers and messy existing environments make integration feel like more trouble than it is worth, leaving teams stuck in a cycle of FOMO without clear use cases.
- 6Why won't users adopt self-hosted tools instead of familiar apps?Everyday users refuse to adopt self-hosted tools because switching to separate web interfaces or new workflows creates too much friction compared to their native applications. This forces them to fall back on familiar tools like Outlook or standard portals, leaving self-hosted software completely unused despite having access.
- 5Why do team members hate using our CRM?Complex CRM platforms force everyday workflows into rigid systems that clash with how teams actually operate, turning basic data entry into an overwhelming chore. This friction causes employees to avoid logging information, leaving managers with incomplete records and abandoned software.
- 4Why does software become just a system of record?When software requires excessive documentation for simple actions like updating a deal stage, users find workarounds to avoid the friction. This forces people to do their actual work elsewhere and only log in afterward to update records, turning the active workspace into a passive historical museum.
- 4How to get sales reps to actually use the CRMCRM adoption fails because reps spend too much time manually maintaining data instead of selling, making logging calls feel like tedious busywork rather than a tool that helps them. The hardest part of CRM work isn't the technology, but getting sales teams to input their activity consistently without relying on threats of getting fired.
- 3How to figure out where AI actually saves timeMost AI tools create more work and confusion instead of helping business operations. Trying to figure out which ones are genuinely useful wastes time and leaves owners avoiding AI entirely.
Comes up alongside
Topics that keep appearing on the same problems — not topics with similar names.