OKR tools track goals. DecisionLedger ensures they're the right goals. Add decision intelligence, market benchmarks, and outcome calibration to your goal management.
| Feature | Lattice | DecisionLedger AI |
|---|---|---|
| Goal setting | OKR creation and tracking | AI-powered goal generation with market benchmark calibration |
| Goal cascading | Parent-child alignment | Quantified alignment scoring with conflict detection |
| Progress tracking | Manual check-ins | AI health scoring with velocity, blockers, and time analysis |
| Decision modeling | 10+ strategy models (alignment, execution gap, trade-off analysis) | |
| View modes | List and tree views | 6 views: card, tree, board, calendar, dashboard, network |
| KPI integration | Basic metrics tracking | Full KPI workspace with 5 views and hierarchical trees |
| Decision governance | Approval workflows, policies, and deliberation rooms | |
| Outcome calibration | Post-cycle outcome recording with prediction accuracy tracking | |
| Market benchmarks | Goal-setting calibration with FRED, BLS, and peer benchmarks | |
| Audit trail | Basic activity logs | Immutable decision audit trail with full lineage |
Why tracking OKRs alone isn't enough to drive strategic outcomes.
OKR tools track goals but don't help you make better strategic decisions. Without decision models, goal-setting remains subjective and disconnected from quantitative analysis.
Goals are set in a vacuum without market benchmarks. Without FRED economic data, BLS labor statistics, or peer benchmarks, targets are either sandbagged or aspirational theater.
Goal achievement drives compensation and promotion decisions, but there's no governance, approval workflow, or audit trail for how goals are set, adjusted, or evaluated.
OKR tools assume goals are the right goals. Without strategy execution gap analysis and alignment scoring, teams optimize metrics that don't move the business forward.