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Software OKR orientado a resultados

Results Oriented OKR Software is a structured product implementation service that helps organizations centralize management indicators in one place, connect performance tracking with budget execution, and monitor the progress of programs, projects, and actions with clear status and completion percentages. The focus is on implementing the right operating model and configuration so leaders and teams can review performance consistently, and make decisions based on reliable, up to date information.

This engagement is designed for organizations that need a practical way to manage OKRs, operational KPIs, and execution tracking, while also improving visibility into planned versus spent and accrued budget. The service includes implementation support, configuration of workflows and reporting, and training so internal teams can operate the solution and continuously improve data quality and adoption.

Service Description

We help organizations implement a results and execution management approach that connects objectives, indicators, and delivery progress. The work starts by clarifying what needs to be measured, why it matters, and how decisions are made today. From there, we define the measurement model, including indicator definitions, ownership, update frequency, and scoring rules.

We then structure how programs, projects, and actions are represented, including status categories, completion percentages, dependencies, and reporting views. Budget tracking is incorporated by defining categories, references, and rules for spent versus accrued amounts, so financial execution can be reviewed alongside delivery progress.

Implementation is delivered iteratively. Each iteration includes validation with real reporting scenarios, alignment with stakeholders, and adjustments to data structure and workflows. Enablement is built in through documentation, playbooks, and training, so the organization can sustain the cadence and improve the system over time.

What’s Included

  • Discovery and alignment, clarify objectives, reporting needs, decision cadence, and success metrics.
  • Indicator model design, KPI and OKR structure, definitions, baselines, targets, and ownership.
  • Execution tracking structure, programs, projects, actions, status model, completion percentage rules, and dependencies.
  • Budget tracking structure, spent versus accrued categories, reporting rules, and alignment to initiatives.
  • Workflow configuration, update routines, review cadence, approvals, and evidence or notes structure.
  • Dashboards and reporting views, executive visibility, team views, drill downs, and exceptions reporting.
  • Data quality and governance, update standards, consistency checks, and role responsibilities.
  • Enablement and adoption, training, operating playbooks, and handover support.

What This Service Helps You Achieve

  • Centralize management indicators in a single system with consistent definitions.
  • Connect delivery execution with budget visibility, including spent and accrued amounts.
  • Improve transparency by tracking programs, projects, and actions with clear status and progress percentages.
  • Reduce reporting effort through standardized workflows and repeatable dashboards.
  • Detect risks earlier with structured review cadence and exception focused reporting.
  • Improve decision making with reliable data and clear ownership for updates.
  • Strengthen accountability by linking results, initiatives, and progress evidence.
  • Enable teams to sustain OKR and KPI management through training and playbooks.

Deliverables

  • Measurement and execution model, indicator definitions, ownership, cadence, and scoring rules.
  • Structure for programs, projects, and actions, including status and progress standards.
  • Budget visibility approach, spent and accrued categories, alignment rules, and reporting logic.
  • Dashboard and reporting structure, executive view, operational views, and drill downs.
  • Update and review playbook, weekly and monthly routines, agendas, and escalation paths.
  • Data governance guide, standards for consistency, quality checks, and responsibilities.
  • Training materials and handover documentation.

Delivery Model

Phase 1, Discovery and Measurement Design, 1 to 2 weeks

  • Align on decision making needs, reporting cadence, and scope.
  • Define indicator structure, definitions, baselines, and targets.
  • Confirm program, project, action tracking requirements.

Phase 2, Execution and Budget Model Definition, 2 to 4 weeks

  • Define status model, completion percentage rules, and dependencies.
  • Define budget categories and rules for spent versus accrued tracking.
  • Design reporting views and governance routines.

Phase 3, Implementation and Configuration, 3 to 6 weeks

  • Configure tracking structure for indicators, initiatives, and progress.
  • Configure budget visibility views and alignment to execution items.
  • Implement dashboards and validate with realistic reporting scenarios.

Phase 4, Operating Rhythm and Monitoring, 4 to 8 weeks

  • Run the first cycles of updates and reviews.
  • Refine reporting, workflows, and data quality standards.
  • Establish exception reporting and escalation routines.

Phase 5, Enablement and Handover, 1 to 2 weeks

  • Train owners and operators on daily and monthly routines.
  • Deliver playbooks and templates for continued operation.
  • Confirm next cycle plan and continuous improvement backlog.