The Measuring System for Workload and Lead Times
Markkula, Juho (2025)
Markkula, Juho
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025052013520
https://urn.fi/URN:NBN:fi:amk-2025052013520
Tiivistelmä
The business challenge in the case company is that there are no visibility for the documentation team’s workload and lead times. To solve this problem a measuring system for the workload and lead times is required.
The objective of this thesis is to develop a measuring system for the documentation team’s workload and lead times. To reach this objective the research is based on triangulated data at different stages of this study. The study data collection begins with Data 1 stage where the data was collected through a Current State Analysis (CSA). CSA was conducted by interviewing key stakeholders. The findings from CSA formed a base for the Conceptual Framework which includes theories and ideas for developing a measurement system for workload and lead times. The theories and ideas from the Conceptual Framework were utilized when co-creating the initial proposal for the measurement system which was the data 2 stage, collected during workshops. The last data 3 stage was to validate the initial proposal by conducting interviews with key stakeholders and decision maker. This ensured the usability of the measurement system and the selection of the most necessary measurements.
The outcome of this thesis is the measuring system for the documentation team workload and lead times. To achieve this, two other systems were created: a ticket system and a work queue. These systems enable the collection of necessary data for the measuring system. The measuring system increases the visibility for the workload and enables the allocation of necessary resources for the documentation team. The increased visibility provides the possibility to find development targets in the documentation team’s processes.
The objective of this thesis is to develop a measuring system for the documentation team’s workload and lead times. To reach this objective the research is based on triangulated data at different stages of this study. The study data collection begins with Data 1 stage where the data was collected through a Current State Analysis (CSA). CSA was conducted by interviewing key stakeholders. The findings from CSA formed a base for the Conceptual Framework which includes theories and ideas for developing a measurement system for workload and lead times. The theories and ideas from the Conceptual Framework were utilized when co-creating the initial proposal for the measurement system which was the data 2 stage, collected during workshops. The last data 3 stage was to validate the initial proposal by conducting interviews with key stakeholders and decision maker. This ensured the usability of the measurement system and the selection of the most necessary measurements.
The outcome of this thesis is the measuring system for the documentation team workload and lead times. To achieve this, two other systems were created: a ticket system and a work queue. These systems enable the collection of necessary data for the measuring system. The measuring system increases the visibility for the workload and enables the allocation of necessary resources for the documentation team. The increased visibility provides the possibility to find development targets in the documentation team’s processes.