An organization wants to automate identification of its dissatisfied customers based on the ticket description and assign the appropriate team to provide a quick resolution.
What is the best way to auto-classify the dissatisfied customers as part of processing?
The organization aims to automate the identification of dissatisfied customers based on the ticket description. To achieve this, leveraging natural language processing (NLP) capabilities is the most efficient method. Appian provides connected systems that allow integration with external NLP services. These services can analyze text data (such as ticket descriptions) to determine the sentiment or classify the text into predefined categories (like 'dissatisfied customer').
Natural Language Connected System:
Appian can integrate with third-party NLP platforms such as Google Cloud Natural Language, AWS Comprehend, or Azure Text Analytics via connected systems.
These services analyze the text provided in the ticket description to detect sentiment, keywords, or specific categories indicating dissatisfaction.
Based on the analysis, the system can automatically assign the appropriate team to handle the case.
Why Not Other Options?:
B . Decision Table: While decision tables are useful for rule-based decisions, they are not suitable for interpreting unstructured text like ticket descriptions.
C . Image Analysis Connected System: This option is irrelevant as the task involves text processing, not image analysis.
D . SAIL Form: SAIL forms are primarily used for user interface creation and are not intended for text analysis or classification.
Implementation in Appian:
Create a connected system to integrate with the chosen NLP service.
Configure the NLP service to analyze the text data and return the sentiment or classification results.
Based on the results, use process models to route the ticket to the appropriate team for resolution.
References:
Appian Documentation on Connected Systems: Appian Connected Systems
Appian Community Success Guide: Appian Delivery Methodology
Third-Party NLP Services Integration: Google Cloud NLP Documentation
You need to draft user stories.
What are the three most important requirements to collect?
When drafting user stories, the most important requirements to collect are those that directly impact the functionality, security, and user experience of the application. These elements ensure that the application not only meets the user's needs but also adheres to best practices in development.
Security (A):
Ensuring that the application is secure is paramount. Security requirements define how user data is protected and how access is controlled within the system.
This includes authentication, authorization, data encryption, and compliance with relevant regulations.
Process Workflow Steps (B):
Understanding the specific steps involved in the process is crucial for accurately capturing how the application should function.
Detailed workflow steps ensure that the application automates and supports the business process as intended.
User Experience (E):
The user experience (UX) defines how users interact with the application, including the interface design, ease of use, and overall satisfaction.
Capturing UX requirements ensures that the application is intuitive and meets the users' needs.
Why Not Other Options?:
C . Report Filters: While important, they are more specific to reporting functionality and not always a core component of every user story.
D . Branding: Branding requirements are typically considered during the design phase, but they are less critical in the functional drafting of user stories.
References:
Appian Documentation on Gathering Requirements: Requirements Gathering in Appian
Focusing on security, process workflow, and user experience ensures that the application is robust, effective, and user-friendly.
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Users expressed that only managers should be able to see information related to a business object.
How should you translate this requirement into a user story?
The correct way to translate the requirement into a user story is to focus on the manager's ability to access and navigate the information related to the business object. This user story follows the standard format: 'As a [role], I need to [action] so that [benefit].' In this case, the story captures the manager's need to view and interact with specific data.
User Story Format:
Role: Manager
Action: Ability to see and navigate a record type
Benefit: Ensures managers have the necessary access to perform their job duties
Why Not Other Options?:
B . Focuses on building security options rather than the manager's need to access data.
C . Is vague and does not follow the standard user story format.
D . Focuses on group membership but is less specific about the action the manager needs to perform.
References:
Appian Documentation on User Stories: Writing User Stories
Using the correct user story format ensures that the development team clearly understands the requirement and how it benefits the end user.
During a development sprint, a new issue is identified and raised to the team.
What should you ask the Product Owner to do?
When a new issue is identified during a sprint, it is essential to evaluate its impact on the current sprint's goals and priorities. The Product Owner should assess the severity and importance of the issue. If it is critical, they may need to re-prioritize the sprint backlog and adjust the sprint scope accordingly. This approach ensures that the development team focuses on delivering the highest value to the project. Simply adding the issue to the current sprint or the next sprint without proper evaluation could disrupt the sprint's progress and lead to inefficiencies. Reference: Appian Documentation - Agile Methodology in Appian Projects
During the development phase, a feature was identified that was not initially part of the project scope but is now considered crucial.
What should the Appian Analyst do?
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