Why Strivers
Goals, feedback, and rewards run on one proprietary alignment score. Here's what that changes in practice.
Goals cascade top to bottom, feedback is captured against them, and a regression learns what executives actually reward — the same weighting that drives the alignment score and the reward math. Here's how that compares to a typical setup:
| Dimension | Typical approach | Strivers |
|---|---|---|
| Goal weighting | Set once during setup and rarely revisited. | Learned each cycle from how executives grade hypothetical employees. |
| Performance calibration | Managers meet and negotiate a shared rating. | Alignment scores computed from real results against the learned weights. |
| AI's role | A summarizer or tone-polish add-on, separate from the tool. | Woven into goal suggestions, review drafting, goal-quality critique, and a standing org writing spec. |
| Reward math | A formula that's hard to explain or adjust once it's in place. | One tunable amplification dial, visible and adjustable by your org. |
| Org-wide insight | Rebuilt by hand each cycle, if at all. | A standing, live view of alignment scores by employee, team, and goal. |
Free to try — we'll walk through it with your actual goal structure, not a demo dataset.