Software that boosts productivity tends to fall into a few key categories: task and project management, time tracking, automation, performance analytics, and knowledge sharing. Tools that reduce administrative burden, centralize work, and eliminate the need to jump between platforms are especially effective. Analytics platforms that provide visibility into workflows and output also help managers identify roadblocks and make smarter decisions.

Start by understanding where productivity is currently being lost (whether that’s unclear task ownership, redundant workflows, or lack of visibility). Look for tools that integrate well with your existing stack and offer automation, collaboration, and insight features. User adoption is critical, so prioritize platforms that are intuitive, customizable, and reduce -- not increase -- friction for teams.

Keep toolsets focused and unified. Avoid stacking too many overlapping platforms. Set clear usage norms, such as standardized project workflows or dashboard reviews, so everyone knows how to engage with the tools effectively. Use analytics not just to monitor performance, but to actively improve it. And don’t forget onboarding: even the best productivity software fails if teams don’t know how to use it well.