The Zeppelin application is an advanced tool for process performance analysis based on data, grounded in strong mathematical/statistical foundations and a socio-technical theoretical framework that integrates multiple dimensions beyond just the quantitative. It uses instruments such as Morphs/Signals and Story to communicate and argue the relevant aspects of performance to the system's actors.

Options for a "Convivial" and Emancipatory Zeppelin

1. Foster Participation and Collective Sense

• Leverage Morphs and Stories to create argumentative and collaborative spaces. Allow users to be active authors and readers ("author/reader model"), discuss results, and propose collective solutions to detected problems.

• Facilitate shared creation and editing of stories, analyses, and activity patterns (Activity Patterns).

2. Integrate Socio-Technical Analysis and Process Critique

• Zeppelin allows the addition of metadata related to instruments, operations, and actors: use this to detect tensions and contradictions, providing tools that do not just seek process improvement but also problematize the organizational context and its contradictions from practice.

• Encourage analyses (Stories) that include causes, consequences, and critical questions, not just instrumental answers.

3. Promote Meaningful Learning and Avoid "Dumbing-Down"

• Zeppelin rejects products with “no learning curve” and promotes meaningful learning through evolving indicators modeled as ideas, explicit challenges to assumptions ("problem finding" in addition to "problem solving").

• Encourage users to explore, create new scripts and indicators using IHDSL, and interact deeply with data and algorithms (“raise the hood”).

4. Promote Open, Flexible, and Self-Managed Tools

• Support deep personalization: multiple desktops, language preferences, UI styles, etc. Allow each user to manage their own “world” and share their views.

• Utilize data federation and export/import of Activity Patterns between Zeppelin and XUL to encourage collaborative networks outside big platforms.

5. Ensure Depth in Analysis, Context, and Visualization

• Take advantage of qualitative indicators (fuzzy logic, fractals, cycle counting, entropy analysis): do not oversimplify reality but show nuances and multiple interpretative layers.

• Display full contexts and explanations; make limitations and risks of processes and data (errors, quality, ranges) visible.

6. Facilitate Action and Reflection Both Online and In-Person

• Zeppelin supports sharing dashboards and reports, but also exporting and communicating concrete corrective tasks (even creating issues directly in Jira, sending email alerts, etc.): use this to move from passive observation to collaborative action.

7. Build Practice Communities Resisting Productivist Logic

• Integrate multiple actors (users, groups, roles) in process decision-making, visualize tensions between stakeholder interests, and promote collectively generated solutions.

8. Promote a Critical and Inclusive Epistemology

• Include comparative, historical, and contextual analysis layers (baselines, project and period comparisons), highlighting contextual and cultural differences.

• Allow defining “smart categories” and dynamic filters to explore indicators according to user-defined, changing criteria.

Concrete Examples and Practices in Zeppelin

Tools for the Critical User

• Signals: Differentiates noise from signal, using both statistics and fuzzy/fractal logic.

• Story: A space to build arguments (not just flat reporting): explaining causes, effects, correlations, alternatives, questions, and solutions in collaborative hyperdocuments.

• Activity Patterns: Detect tensions and contradictions in socio-technical systems, build visual stories of transformation.

• Script Editor (IHDSL): Domain-specific language to manipulate and create individual or collective indicators, encouraging creativity and user control over analysis.

Analysis Resisting “Toolism”

• Multiple desktops for personal environments.

• Face-to-face comparison of indicators and contexts.

• Multilevel visualization of data, context, and process.

• Activity models echoing social “design patterns,” not just technical ones.

Insights Zeppelin Can Gain From XUL and the Cited Text

• Prioritize collective encounters and discussions, not just data.

• Make visible the history and conflict, the search for new models and solutions, not only KPI tracking as the final goal.

• Use AI to enhance pattern detection and systemic analysis, not to automate user thinking or actions.

Conclusion

Zeppelin can be a “convivial” and emancipatory application if its statistical and computational power is oriented towards:

• Generating collective and critical meaning.

• Promoting learning and self-management.

• Favoring deep analysis and solidarity-driven action.

• Showing the limits of data and the process itself.

• Facilitating encounter and transformation, not just efficiency.

Desktop Version folders

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Jira Cloud Solution

Zeppelin premium version for Jira Cloud includes basically the same functionality that Jira Server plugin for Jira, and includes functionality that applies to a desktop application

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Documentation

Zeppelin for Jira is an application to analyze the performance of processes based on data and communicate the relevant aspects to the actors that are part of the system seen as a whole... Zeppelin

A story is an artifact of arguing the meaning of the data, and consists of data, texts as annotations and/or presentation of points of view, explanations, morphs arranged on a board as attachments (for example with bar graphs, correlations, graphs, texts, etc.), and Patterns of Activity... Stories

Signals is an instrument to observe the variation of the data differentiating it from the statistical noise. Morphs are mutable objects, which can be sent to interested recipients, which encapsulate the data, the related context, the variation charts, automatic and user annotations that act as translators for the different actors interested in knowing the meaning of the march. of its critical processes ... Signals

You can create queries and extend part of the application using a domain specific language (IHDSL/RQL). To write a new query, open a script terminal window, define the data source you will use (you can define new ones), and write your script. To do this, the context menu has support for IHDSL commands, command templates, available field names and fields, and the power of the Smalltalk dynamic environment to inspect and debug objects in runtime... Scripting

See alo Concepts

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