Betterworks is OKR-first, built for cascading goals through a large organisation. Leapsome bundles performance, engagement and learning in one product, which suits mid-size companies wanting fewer vendors.
Both are competent. Both share the constraint every dedicated performance tool has.
- ›What each is good at
- ›The evidence problem
- ›The cost shape
- ›Where Brainis fits
What each is good at
Betterworks: goal alignment at scale. If you genuinely cascade objectives through several layers and need to see how they connect, that is its purpose.
Leapsome: breadth for the money. Performance, engagement and learning in one place is a real simplification versus three vendors.
The evidence problem
A performance review is a judgement about a year of work. The work lives in your project tool. The outcomes live in delivery. The goals may live in the performance tool, or a planning tool, or a spreadsheet.
So writing a review means reconstructing the year from memory plus whatever can be found. That is the mechanism behind recency bias - the last six weeks are the part a manager can actually recall - and no review-cycle feature fixes it, because it is a data location problem.
Cascading goals has the same issue from the other end. A goal is only as real as the work attached to it, and if the work lives in another system, the goal is a statement of intent that ages quietly.
The cost shape
Priced per employee, and every employee is in scope. The cost scales with headcount at exactly the moment headcount is the thing you are trying to manage.
Where Brainis fits
Performance is a section of People OS: review cycles, calibration, competencies, goals and check-ins, 360 feedback and a 9-box grid - on the same data layer as the work, so the evidence pack assembles from goals set and met, projects delivered and feedback given, rather than from memory.
No per-employee charge; included on every plan from $29 a month, alongside Work, Revenue, Hiring and Finance.
The honest gaps: less depth than Betterworks for large-scale goal cascading, and Leapsome's learning module is more developed than the Learning section here. See AI performance reviews.
FAQ
Do OKRs work?
When there are few of them, they are owned, and they are reviewed. Most failures are volume and neglect rather than framework. See OKRs versus KPIs.
Should reviews affect pay?
Separating the development conversation from the compensation conversation gets more honest answers in the first one.
Can we migrate review history?
Export and archive it. Historical reviews are sensitive and rarely consulted; most teams keep the archive rather than importing.
Sharing insights on business operations, AI, and modern team management.
Run your company on Brainis
All 26 operating modules on every plan, from $29 a month. No per-seat pricing — you pay for AI capacity, not headcount.
See pricing