Tilt FE Tree In Search Filter: A User-Friendly Guide

by Pedro Alvarez 53 views

This article will explore the intricacies of displaying the Tilt FE tree structure within the "sub-positions" filter when searching for a FE (Functional Element) using the magnifying glass. We'll break down the context, acceptance tests, testing information, and technical strategy involved in this endeavor. So, buckle up and let's get started!

Contexte (Context)

The Current Situation: BC+ vs. Tilt

Currently, when you search for a FE using the magnifying glass, the "sub-positions" filter displays the classic BC+ (Budget Center Plus) structure. This setup, while functional, isn't aligned with the Tilt structure, which is causing some inconsistencies and making it harder for users to find what they need. The main goal here is to ensure that the filter displays the Tilt tree structure instead of the BC+ structure. This will provide a more coherent and user-friendly experience, especially for those familiar with the Tilt framework. You know, guys, we're all about making things smoother and more intuitive, right?

The existing BC+ structure, while familiar, isn't always the most logical or efficient way to organize and display FEs. It might not reflect the actual operational hierarchy or the relationships between different functional elements in the same way that the Tilt structure does. This misalignment can lead to confusion, wasted time, and even errors when users are trying to locate specific FEs.

Think about it: you're used to navigating a certain way in Tilt, and then you switch over to the search function and see a completely different structure. It's like trying to find your way around a new city without a map – frustrating and time-consuming! That's why this change is so important. By aligning the filter with the Tilt structure, we're creating a more seamless and consistent experience for our users. This means less time spent searching and more time spent actually getting things done.

Furthermore, the move to display the Tilt structure is crucial for maintaining consistency across the platform. When different parts of the system use different organizational structures, it can lead to a fragmented and confusing user experience. By standardizing on the Tilt structure, we're not only making it easier to find FEs in the search filter but also reinforcing the overall coherence of the system. This consistency is key to improving user satisfaction and reducing the learning curve for new users.

So, in a nutshell, the context here is about aligning the "sub-positions" filter with the Tilt structure to improve usability, consistency, and overall efficiency. It's about making the system work the way our users expect it to, and that's always a win-win situation. Plus, let's be real, who doesn't love a good, clean, and intuitive interface? We're all about that life, right?

The Need for Change

The core issue lies in the discrepancy between the BC+ structure and the Tilt structure. To maintain consistency and improve user experience, the "sub-positions" filter needs to reflect the Tilt structure. This ensures that users familiar with Tilt can easily navigate and find the FEs they need. Basically, it's about making the search function as intuitive and straightforward as possible. We want users to feel like they're using a tool designed with their needs in mind, not fighting against a confusing or inconsistent system.

The current setup can lead to several problems. First, it can increase the time it takes for users to find the FEs they need. If the filter displays a structure that doesn't match their mental model, they have to spend extra time navigating and figuring out where things are located. This wasted time can add up, especially for users who frequently use the search function. Second, the inconsistency can lead to errors. Users might accidentally select the wrong FE if they're confused by the structure, which can have serious consequences depending on the context. Finally, it can simply be frustrating for users. Dealing with a confusing or inconsistent system can be a major source of annoyance, and it can negatively impact their overall experience with the platform.

By switching to the Tilt structure, we're addressing all of these issues. We're making the search function faster, more accurate, and less frustrating. This will not only improve the user experience but also increase productivity and reduce the risk of errors. It's a change that benefits everyone, from the occasional user to the power user who relies on the search function every day.

So, to summarize, the need for change is driven by the desire to create a more consistent, intuitive, and efficient system. It's about aligning the search filter with the Tilt structure to make it easier for users to find the FEs they need, reduce the risk of errors, and improve their overall experience. We're all about making things better, and this is a big step in the right direction.

Target Audience

This change primarily benefits users who are already familiar with the Tilt structure. By aligning the filter with Tilt, these users will experience a more seamless and intuitive search process. However, it also benefits new users who are learning the system. A consistent structure across the platform makes it easier for them to understand how things are organized and where to find them. Ultimately, this improvement aims to make the system more accessible and user-friendly for everyone, regardless of their familiarity with the BC+ or Tilt structures. We're talking about creating a win-win situation, guys!

Think of it this way: if you're already comfortable with the Tilt structure, having the filter display the same structure is like speaking the same language. You know exactly where to go and what to look for, which makes the whole process much faster and easier. On the other hand, if you're new to the system, learning the Tilt structure and seeing it reflected in the filter will help you understand the organization of the system more quickly. You'll be able to find things more easily, and you'll feel more confident using the platform.

The target audience also includes those who rely heavily on the search function to find specific FEs. Whether they're project managers, engineers, or anyone else who needs to locate FEs quickly and accurately, these users will benefit from the improved consistency and intuitiveness of the filter. It's about making their jobs easier and more efficient, so they can focus on the tasks that really matter.

So, whether you're a Tilt pro, a newbie, or a search function power user, this change is designed to make your life easier. We're committed to creating a system that works for everyone, and this is just one more step in that direction. We're all in this together, right?

Tests d'Acceptance (Acceptance Tests)

Functionality to be Developed

So, what exactly needs to be done to make this happen? The primary functionality to be developed involves modifying the "sub-positions" filter logic. This means diving into the code and tweaking it so that it pulls the Tilt tree structure instead of the BC+ structure. It's a bit like swapping out the engine in a car – you need to make sure the new engine fits and works seamlessly with the rest of the vehicle. In this case, we need to ensure that the Tilt structure is accurately displayed and that it integrates smoothly with the existing search functionality. No Frankenstein monsters here, folks!

Specifically, this involves identifying the code that currently retrieves the BC+ structure and replacing it with code that retrieves the Tilt structure. This might involve querying a different database table, using a different API endpoint, or implementing a new algorithm for generating the tree structure. The exact approach will depend on the current architecture of the system and the way the BC+ and Tilt structures are stored and managed. But hey, that's why we have our tech wizards, right?

Another key aspect is ensuring that the filter remains performant after the change. We don't want to swap out the BC+ structure for the Tilt structure only to find that the filter now takes forever to load. Performance testing will be crucial to ensure that the change doesn't negatively impact the user experience. We're aiming for smooth and speedy, not slow and sluggish.

In addition to the core functionality, we also need to consider the user interface. The Tilt structure might be different from the BC+ structure in terms of the number of levels, the names of the nodes, or the overall layout. We need to make sure that the filter can handle these differences and that the Tilt structure is displayed in a clear and user-friendly way. This might involve tweaking the CSS, adding new icons, or making other changes to the UI. It's all about making the filter look good and work even better.

So, to sum it up, the functionality to be developed involves modifying the filter logic to display the Tilt structure, ensuring performance, and making any necessary UI adjustments. It's a multi-faceted task, but we're up for the challenge! We're all about making things awesome, right?

Key Acceptance Criteria

Acceptance criteria are like the checkpoints on a road trip – they tell us when we've reached our destination. In this case, the acceptance criteria will define what needs to be true for this change to be considered a success. One key criterion is that the "sub-positions" filter should accurately display the Tilt tree structure. This means that all the nodes and relationships in the Tilt structure should be correctly represented in the filter. No missing branches or misplaced leaves, please!

Another crucial criterion is that the filter should still function correctly for all types of FEs. We don't want to break the search functionality for certain FEs while fixing it for others. The filter should work seamlessly for all FEs, regardless of their position in the Tilt structure. It's all about consistency and reliability.

Performance is also a key consideration. The filter should load quickly and respond promptly to user interactions. We don't want users to be sitting around waiting for the filter to load or update. A slow filter is a frustrating filter, and we're all about avoiding frustration. We want things to be snappy and responsive, like a well-oiled machine.

Finally, usability is paramount. The filter should be easy to use and understand. The Tilt structure should be displayed in a clear and intuitive way, and users should be able to navigate it easily. We want users to feel like they're in control and that the filter is helping them find what they need, not hindering them.

So, to recap, the key acceptance criteria are: accurate display of the Tilt structure, correct functionality for all FEs, good performance, and usability. These criteria will guide the development and testing process and ensure that we deliver a high-quality solution that meets the needs of our users. We're aiming for excellence, guys, and these criteria will help us get there!

Infos de Test (Testing Information)

How to Test This Ticket

Alright, so how do we make sure this change is a home run? Testing is the name of the game, folks! To properly test this ticket, we need to verify that the "sub-positions" filter is indeed displaying the Tilt tree structure correctly. This involves a meticulous comparison between the filter's display and the actual Tilt structure. Are all the branches and leaves in the right places? Are the labels accurate? It's like being a detective, but instead of solving a crime, we're solving a usability puzzle.

We also need to test the filter with different types of FEs. Does it work correctly for FEs at the top of the Tilt tree? What about FEs buried deep within the structure? We need to make sure the filter handles all cases gracefully. It's like testing a car on different types of roads – we want to see how it performs in all conditions.

Performance testing is also crucial. We need to measure how long it takes for the filter to load and respond to user interactions. A slow filter is a no-go, so we need to make sure it's snappy and responsive. Think of it as a speed test – we want to make sure the filter is in the fast lane.

Usability testing is another key aspect. We need to put the filter in the hands of real users and see how they interact with it. Do they find it easy to use? Do they get confused by anything? User feedback is invaluable, and it can help us identify any areas that need improvement. It's like getting a second opinion from a doctor – it can help us catch things we might have missed.

Finally, we need to test the filter in different browsers and on different devices. It should work seamlessly across all platforms. It's like making sure a movie plays on all types of TVs – we want everyone to be able to enjoy the show.

So, to summarize, testing this ticket involves verifying the Tilt structure, testing with different FEs, measuring performance, conducting usability testing, and testing across different platforms. It's a comprehensive process, but it's essential to ensure that we deliver a high-quality solution that works for everyone. We're all about quality, right?

Specific Test Cases

Specific test cases are like the individual steps in a recipe – they tell us exactly what to do to achieve the desired outcome. One test case could involve searching for a specific FE and verifying that the "sub-positions" filter displays the correct Tilt structure for that FE. This would involve comparing the filter's display with a known representation of the Tilt structure, such as a diagram or a list. It's like checking the ingredients in a dish – we want to make sure everything is there.

Another test case could involve searching for FEs at different levels of the Tilt tree. This would help us ensure that the filter correctly handles the hierarchy of the structure. Are the parent-child relationships displayed accurately? It's like checking the layers in a cake – we want to make sure they're all in the right order.

We could also create test cases that focus on performance. For example, we could measure the time it takes for the filter to load when searching for a large number of FEs. This would help us identify any performance bottlenecks. Think of it as a stress test – we want to see how the filter performs under pressure.

Usability test cases could involve asking users to perform specific tasks, such as finding a particular FE using the filter. We could then observe their behavior and gather feedback on their experience. This would help us identify any areas where the filter could be improved. It's like watching someone assemble a piece of furniture – we can see where they struggle and where they excel.

Finally, we could create test cases that focus on error handling. What happens if the filter can't find a matching FE? Does it display an appropriate error message? We want to make sure the filter handles errors gracefully. It's like having a backup plan – we want to be prepared for anything.

So, to summarize, specific test cases involve verifying the Tilt structure, testing different levels of the tree, measuring performance, conducting usability testing, and testing error handling. These test cases will help us thoroughly evaluate the change and ensure that it meets our quality standards. We're aiming for perfection, guys, and these test cases will help us get there!

StratΓ©gie Technique (Technical Strategy)

Technical Approach

Alright, let's talk tech! The technical strategy for this ticket is all about precision and efficiency. The primary approach will involve modifying the code that currently fetches and displays the BC+ structure. We'll need to replace this code with logic that fetches and displays the Tilt structure. This might sound like a simple swap, but it's crucial to ensure that the new code integrates seamlessly with the existing system. It's like performing surgery – we need to be careful and precise to avoid any complications.

This will likely involve identifying the specific database queries or API calls that are used to fetch the BC+ structure and replacing them with queries or calls that fetch the Tilt structure. We might also need to modify the code that transforms the data into a tree structure for display in the filter. Think of it as re-wiring a circuit board – we need to make sure the connections are correct.

We'll also need to consider the performance implications of this change. Fetching the Tilt structure might involve querying different tables or using a different algorithm, which could potentially impact performance. We'll need to optimize the code to ensure that the filter remains responsive. It's like tuning an engine – we want to get the most power with the least amount of fuel.

Another important aspect is ensuring that the change is maintainable. We want to write code that is easy to understand and modify in the future. This means following coding best practices and writing clear, concise code. Think of it as building a house – we want to make sure it's built to last.

Finally, we'll need to carefully test the changes to ensure that they work as expected and that they don't introduce any new bugs. Testing is a crucial part of the development process. It's like proofreading a document – we want to catch any errors before they cause problems.

So, to summarize, the technical approach involves modifying the code to fetch and display the Tilt structure, optimizing performance, ensuring maintainability, and thoroughly testing the changes. It's a comprehensive approach, but it's essential to ensure that we deliver a high-quality solution. We're all about excellence, right?

Unit Tests and Cypress Tests

Testing, testing, 1, 2, 3! We're not just talking about testing; we're all about it! To ensure the quality and reliability of this change, we'll be employing a two-pronged testing strategy: unit tests and Cypress tests. Unit tests are like the individual checks we perform on each component of a machine – they ensure that each part is functioning correctly. These tests will focus on verifying the logic of the code that fetches and displays the Tilt structure. We'll be testing individual functions and methods to ensure that they produce the correct output. It's like checking the gears in a clock – we want to make sure they're all turning smoothly.

Cypress tests, on the other hand, are like a full system check – they verify that all the components work together as expected. These tests will focus on the user interface and the overall functionality of the filter. We'll be simulating user interactions, such as searching for FEs and navigating the Tilt structure, to ensure that the filter behaves as expected. It's like testing a car on the road – we want to make sure it handles well in all conditions.

By using both unit tests and Cypress tests, we'll be able to thoroughly evaluate the change and catch any potential bugs. Unit tests will help us identify problems at the code level, while Cypress tests will help us identify problems at the user interface level. It's like having two sets of eyes – we're more likely to spot any issues.

The addition of these tests will also make the code more maintainable in the future. If we need to make changes to the code, we can run the tests to ensure that we haven't introduced any new bugs. It's like having a safety net – we can make changes with confidence.

So, to summarize, we'll be adding both unit tests and Cypress tests to ensure the quality and reliability of this change. This comprehensive testing strategy will help us deliver a high-quality solution that meets the needs of our users. We're all about quality, right?

Conclusion

In conclusion, this ticket is all about enhancing the user experience by aligning the "sub-positions" filter with the Tilt structure. By addressing the discrepancy between the BC+ and Tilt structures, we're creating a more consistent, intuitive, and efficient system for our users. The technical strategy involves modifying the filter logic, ensuring performance, and thoroughly testing the changes with both unit tests and Cypress tests. It's a comprehensive effort, but one that will ultimately benefit everyone who uses the platform. We're all about making things better, and this is a big step in the right direction. So, let's get to work and make it happen!