Project Systems Research

Between decision
and effect

Research question

Projects rarely lose time in execution.

Between business and technology, contract and scope, reporting and decision, build and run – that is where waiting time, duplicated work and decisions that are taken but never become effective originate.

loumiTECH investigates how steering, coordination and the use of time interrelate in complex programmes — and which structures actually recover time. Every contribution states what is supported by sources and what remains our own synthesis.

EVIDENCE MODEL OBSERVATION REVISION
Research fields

Three fields, one question: where does the time go?

01 / Project Steering & Governance

How decisions, committees and responsibilities determine the speed of a programme.

We examine decision latency, coordination effort at interfaces and the question of why documented resolutions often reach the actual work weeks later. The basis is published governance research and anonymised programme observations.

Decision Latency · Coordination Surface · Steering Quadrant · Role clarity · Escalation logic

Read Decision Latency
02 / Time Management in Programmes

Where time is lost in complex programmes — and which structures recover it.

This field studies time as a steering variable in programmes. This means waiting time between committee dates, the cadence of reporting and decision, and the response time to deviations. It is not about individual people’s calendars. First studies begin in November 2026.

Waiting time · Committee cadence · Reconfiguration Latency · Response time · Time budgets for escalations

In development
03 / Project Systems & Reporting

Why tools, processes and reports drift away from real work over time — and what makes reporting decision-ready.

Configuration drift in Jira and Confluence, reporting that describes instead of steering, and operability considered only at go-live: this field studies project systems as steering instruments.

Configuration Drift · Decision-Driven Reporting · Build-to-Run · Data quality · Action management

Read Configuration Drift
Method

Four content types, each with its evidence base disclosed.

Evidence ReviewAn evidence review systematically evaluates published studies and literature on a clearly defined question. No own data is collected. Every statement is attributed to a source.

Study OverviewA study overview summarises selected published studies without being based on a systematic search. No own data is collected. Every figure is attributed to a source.

Working ModelA working model describes a term or steering model of our own, derived from research and practice. It is explicitly labelled as not validated and states its limits and open questions.

Field ObservationA field observation describes an anonymised pattern from project practice and places it in the context of the literature. It is not a study finding. It serves as a starting point for hypotheses that are then tested.

Transparency. Every contribution distinguishes between statements supported by sources and our own synthesis. Sources are linked, the use of generative AI is disclosed, and version and review date are stated at the end of every contribution.

Scope of the research

7

published contributions in German and English

21

sources evaluated — studies, standards and literature

3

working models, each with its validation status disclosed

3

research fields — steering, time management, project systems

Contributions

All contributions, in chronological order.

Study Overview

Why large IT programmes fail

BCG, McKinsey/Oxford and Standish consistently find high deviations from plan. Where causes are asked about, steering and coordination come first and technology only rarely.

Read
Working Model8 min

Coordination Surface

Coordination effort grows with the number and heterogeneity of interfaces — not with the number of work packages.

Read
Working Model8 min

Decision Latency

Measurable time passes between a resolution and the changed work. Programmes rarely steer this time.

Read
Working Model8 min

Configuration Drift

Tools are configured once, ways of working evolve weekly — without governance, the two drift apart.

Read
Working Model9 min

Build-to-Run

Operability is built across the whole delivery, not at go-live — and it determines the value a transformation actually realises.

Read
Field Observation8 min

Decision-Driven Reporting

Reporting only becomes valuable when it changes decisions — not when it describes the past.

Read
Field Observation7 min

Programmes lose time at transitions

Steering requirements, contracts, tickets and forecasts separately loses speed long before the first release exists.

Read
Study Overview overview of published studies Working Model own model, not validated Field Observation structured observation from practice
Models

Three working models, open to scrutiny.

01Working model · not validated

Modular Project Management Blueprint

Instead of adopting one universal method as a full package: which steering building blocks does this project need, in what form — and which does it deliberately leave out?

  • Governance
  • Reporting
  • Decision
  • Coordination
  • Delivery

Selected by: project architecture · type of change · dependencies · operational proximity

02Working model · not validated

Steering Quadrant

Four perspectives usually managed separately, consolidated into one weekly steering logic — one owner per open item, one explicit escalation level.

  • Functional clarity
  • Operational transparency
  • Commercial steering
  • Technical impact analysis

Commercial and contractual topics are treated as potential delivery blockers, not as separate workstreams.

Derivation in “Programmes lose time at transitions”
03Working model · not validated

Four-level model for Decision-Driven Reporting

Reporting that changes decisions builds on four levels in a fixed order — without a robust data foundation, every further level produces false precision.

  • Data foundation
  • Metrics logic
  • Automation
  • Action linkage

Every anomaly is linked to an owner, a next step and a deadline.

Derivation in “Decision-Driven Reporting”

All three models are our own syntheses, inspired among others by ISO 21502 and PMBOK 7 (tailoring) — not empirically validated standard models.

Research dialogue

Pointers, counter-examples or data from your practice?

The working models are reviewed continuously. Feedback on individual articles, anonymised case examples, pointers to further sources, and cooperation or press enquiries are welcome.

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