Problem architecture
Objectives, users, decisions, processes, data sources and protection requirements are precisely scoped.
Consulting · Custom Software · Analytics Applications
LPS connects consulting and development: a professional challenge becomes a transparent measurement, decision or performance model – and then a usable desktop, web or local AI application.
Mission
LPS does not build arbitrary apps without a professional architecture. The focus is the translation between the business problem, measurement and management logic, data requirements, user experience and technical implementation. The result should be transparent, adaptable and integrable into real decision and performance-management processes.
What LPS supports and implements
Objectives, users, decisions, processes, data sources and protection requirements are precisely scoped.
Constructs, items, indices, weights, thresholds, scenarios, reports and interpretation rules are developed.
Prototype, interface, data handling, analytics, visualization and export are realized as web, desktop or local solutions.
Test data, real pilot use, quality review, documentation, roles, support and further development are agreed step by step.
Interactive illustration labs
The demos are deliberately not free full versions. Using fixed fictional data, they show interaction, analysis logic and possible management views. In a client project, model, data structure, terminology, roles, metrics and reports are fully adapted.
Example of a multi-perspective leadership application with profiles, survey waves, self/other views and development fields.
Example connecting index metrics, actions, financial assumptions, sensitivity and management reporting.
Example of a VSM-based organizational diagnosis with current/target profiles, perspectives, veto risks and roadmap.
Consulting fields
Constructs, items, scales, indices, weighting, thresholds, self/other views, data quality and KPI documentation.
Baseline, data preparation, perspective comparisons, dispersion, dissent, management summary and priority fields.
Objectives, responsibilities, actions, target values, leading and lagging indicators and review routines.
Impact logic, business cases, sensitivities, cost-benefit and break-even scenarios without outcome guarantees.
Pre/post design, item analysis, reliability, factor models and organization-specific comparison values.
Culture, values, trust, transformation, stakeholder, sustainability or individual KPI applications.
Possible technical formats
A project can be implemented as a browser application, local Windows software, internal dashboard, offline analysis tool or a combination of survey, analysis and reporting.
Professional boundaries
Methodology, data quality, limitations and human interpretation are visibly documented. LPS does not promise an objective automated assessment of employees or a guaranteed ROI. Applications support professional decisions; they do not replace them.
Project start
To begin, it is enough to describe the challenge, user group, available data and the decision or management process to be improved.