Challenges We Solve
Common pain points that structured decision models eliminate.
KPI Proliferation
Too many metrics, no hierarchy. Teams drown in dashboards while strategic signals get lost. Define KPIs with clear ownership, cascading relationships, and automated certification.
Lagging Indicators Only
By the time the dashboard turns red, it's too late. Model leading indicators that predict outcome drift before it impacts quarterly results.
Dashboards Without Decisions
Beautiful charts, zero action. Link every KPI to a decision model that triggers recommended interventions when thresholds breach.
Metric Gaming
Teams optimize their number, not the business. Detect anomalous KPI movements, sandbagged targets, and misaligned incentive structures automatically.
Use Cases
How leaders use DecisionLedger to make better decisions.
Builds a cascading KPI tree from 5 strategic objectives down to 40 team-level metrics, with automated health scoring that flags at-risk KPIs before quarterly reviews.
Reduced strategy-execution gap by surfacing misaligned metrics monthly
Uses the data quality scorecard model to certify every KPI data source, detecting stale feeds, missing values, and anomalous jumps before they pollute executive dashboards.
Eliminated 'bad data' arguments from leadership meetings entirely
Monitors team KPIs in kanban view with threshold alerts, linking every red metric directly to a decision model that recommends corrective action.
Response time to KPI breaches dropped from 2 weeks to same-day
Measurable Impact
Based on platform benchmarks across early adopters.
KPI Health Visibility
Data Quality Issues
Metric Response Time
KPI-to-Decision Link
A Full KPI Management Workspace
Beyond analytics — a living KPI system with five view modes, health scoring, team ownership, and direct links to the decisions that move the needle.
Five View Modes
Switch between cards, table, tree, kanban, and visual network views. Each view is purpose-built — kanban for workflow, tree for hierarchy, visual for dependencies.
Health Status Tracking
Every KPI is automatically scored as healthy, at risk, or not connected. Filter by health status to instantly surface the metrics that need attention.
Hierarchical KPI Trees
Build cascading KPI trees from strategic objectives down to operational metrics. See how team-level metrics roll up to company-level outcomes.
Automatic Recalculation
Recalculate KPI values from linked data sources and child metrics. Automatically refresh targets when upstream inputs change — no more stale dashboards.
Team Ownership & Filtering
Assign KPIs to teams with clear ownership. Filter by team, timeframe, or status to create focused views for every stakeholder.
Threshold Alerts
Set warning and critical thresholds on any KPI. Get notified when metrics breach boundaries so you can intervene before small problems compound.
Import & Export
Bulk import KPIs from spreadsheets or export current state to CSV. Migrate existing KPI frameworks into DecisionLedger in minutes, not weeks.
Goal & Decision Linking
Connect KPIs directly to goals and decision records. Trace from a metric anomaly to the strategic objective it supports and the decisions driving it.
Connects With
Featured Models
Pre-built decision models ready to run with your data.
Data Quality Scorecard
Computes dataset quality scores (completeness, validity, timeliness, consistency) by domain and table. Routes failures to owners with prioritized fix queue.
Decision Accountability Mapping
Assigns clear ownership and escalation paths for decisions using RACI governance analysis. Validates accountability structures, detects gaps and concentration risks, scores coverage completeness, and generates remediation recommendations.
Decision Drift Detection
Identifies when decisions diverge from original intent over time.
Fpa Forecast Bias Monitor
Tracks forecast accuracy by driver, identifies systematic bias, and recommends corrections to planning assumptions to improve credibility over time.
Health Score
Computes a composite customer health score from usage/adoption metrics, outcome achievement, support sentiment, stakeholder engagement, and executive sponsor stability. Uses multi-criteria weighted scoring (MCDA) to classify customers as healthy, at-risk, or critical.
Kpi Definition Registry
Centralizes KPI definitions, calculation logic, owners, and acceptable use. Validates new dashboards and reports against approved metric specs and blocks shadow metrics.
Model Dashboard Certification
Certifies datasets, semantic models, and dashboards with levels (bronze, silver, gold). Tracks test coverage, lineage completeness, owners, and last validation date. Blocks uncertified assets from executive reporting.
Strategy-to-Execution Gap Model
Measures how far strategic intent deviates from operational reality. Compares planned vs actual across key dimensions to quantify execution drift and identify intervention points. Computes gap scores per objective, overall execution gap index, drift velocity, dimension gap analysis, at-risk objectives, intervention priority ranking, projected completion dates, and execution health score.
How It Works
Three steps to structured, auditable decisions.
Define KPI Framework
Build a hierarchical KPI tree from strategic objectives to team-level metrics. Set owners, thresholds, and review cadences.
Monitor & Certify
Track actuals vs targets, detect drift, and certify data quality. Automated alerts when metrics breach thresholds.
Decide & Improve
Link KPI breaches to decision models, run root cause analysis, and track corrective actions over time.
You have 200 KPIs on dashboards and zero of them are connected to the decisions that actually move them. Sound familiar?
Tableau / Power BI dashboards
Beautiful charts with no decision logic — you see red, then what?
Spreadsheet KPI trackers
Manual updates, stale data, no threshold alerts, no ownership
OKR tools with metric add-ons
Metrics bolted onto goal tools without real analytical depth
Monthly report decks
Static PDFs that are outdated before the meeting starts