User Software Examples

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Ceola Roefaro

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Aug 5, 2024, 3:49:41 AM8/5/24
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SummaryA user story is an informal, general explanation of a software feature written from the perspective of the end user. Its purpose is to articulate how a software feature will provide value to the customer.

A key component of agile software development is putting people first, and a user story puts end users at the center of the conversation. These stories use non-technical language to provide context for the development team and their efforts. After reading a user story, the team knows why they are building, what they're building, and what value it creates.


The purpose of a user story is to articulate how a piece of work will deliver a particular value back to the customer. Note that "customers" don't have to be external end users in the traditional sense, they can also be internal customers or colleagues within your organization who depend on your team.


User stories are also the building blocks of larger agile frameworks like epics and initiatives. Epics are large work items broken down into a set of stories, and multiple epics comprise an initiative. These larger structures ensure that the day-to-day work of the development team (on stores) contributes to the organizational goals built into epics and initiatives.


For development teams new to agile, user stories sometimes seem like an added step. Why not just break the big project (the epic) into a series of steps and get on with it? But stories give the team important context and associate tasks with the value those tasks bring.


Another common step in this meeting is to score the stories based on their complexity or time to completion. Teams use t-shirt sizes, the Fibonacci sequence, or planning poker to make proper estimations. A story should be sized to complete in one sprint, so as the team specs each story, they make sure to break up stories that will go over that completion horizon.


This structure is not required, but it is helpful for defining done. When that persona can capture their desired value, then the story is complete. We encourage teams to define their own structure, and then to stick to it.


User stories describe the why and the what behind the day-to-day work of development team members, often expressed as persona + need + purpose. Understanding their role as the source of truth for what your team is delivering, but also why, is key to a smooth process.


User personas are semi-fictional representations of the ideal or current users of a product or service. User personas help product and design teams better understand and delight customers.


Talking to real users is a great way to deeply understand your customers. User research uncovers their jobs to be done (JTBD), pain points, and demographic and psychographic data, all of which are details that will inform your user personas, and help your team develop more empathy to create personalized product experiences.


This is a great example of an effective user persona because it answers three important questions to help your team clearly define who you're targeting, the big goal they want to accomplish, and their biggest obstacle:


Userpilot could make this persona even better by focusing on a single goal and barrier, instead of multiple goals at once, which would help cross-functional teams focus their efforts on solving a specific problem before moving to another.


Your user persona should represent the largest share of your user base. Outline a key demographic, main goal, and main barrier for each persona. This template will help you organize the details so your team can better understand the persona.


Pro tip: Hotjar Engage lets you record user persona interviews so every team member can access them easily, and watch and listen again and again to uncover insights they may have missed during the initial chat.


And why don't you make it easy on yourself: place an on-page survey on your most visited web pages to ask these (and other) open-ended questions to identify key demographics and psychographics, and learn about customers' goals and challenges in their own words.


A user persona is a semi-fictional representation of your ideal buyer or current customer. It includes demographic and psychographic data that helps you better understand your users, so you can improve your website and product experience for them.


The design should speak the users' language. Use words, phrases, and concepts familiar to the user, rather than internal jargon. Follow real-world conventions, making information appear in a natural and logical order.


The way you should design depends very much on your specific users. Terms, concepts, icons, and images that seem perfectly clear to you and your colleagues may be unfamiliar or confusing to your users.


When it's easy for people to back out of a process or undo an action, it fosters a sense of freedom and confidence. Exits allow users to remain in control of the system and avoid getting stuck and feeling frustrated.


Good error messages are important, but the best designs carefully prevent problems from occurring in the first place. Either eliminate error-prone conditions, or check for them and present users with a confirmation option before they commit to the action.


Minimize the user's memory load by making elements, actions, and options visible. The user should not have to remember information from one part of the interface to another. Information required to use the design (e.g. field labels or menu items) should be visible or easily retrievable when needed.


Interfaces should not contain information that is irrelevant or rarely needed. Every extra unit of information in an interface competes with the relevant units of information and diminishes their relative visibility.


I originally developed the heuristics for heuristic evaluation in collaboration with Rolf Molich in 1990 [Molich and Nielsen 1990; Nielsen and Molich 1990]. Four years later, I refined the heuristics based on a factor analysis of 249 usability problems [Nielsen 1994a] to derive a set of heuristics with maximum explanatory power, resulting in this revised set of heuristics [Nielsen 1994b].


In 2020, we updated this article, adding more explanation, examples, and related links. While we slightly refined the language of the definitions, the 10 heuristics themselves have remained relevant and unchanged since 1994. When something has remained true for 26 years, it will likely apply to future generations of user interfaces as well.


You may use these heuristics in your own work. Please credit Jakob Nielsen and provide the address for this page [nngroup.com/articles/ten-usability-heuristics] or cite the paper above [Nielsen 1994a]. If you want to print copies of this page or reproduce the content online, however, please see our copyright info for details. Copyright by Jakob Nielsen.ISSN 1548-5552


Hey all, I'm looking to see if anyone has example analytic apps for using a file reference ID as described in Gallery API: Inputfiles Endpoint. As someone who is not very familiar with how these temporary files are stored on alteryx servers, anything would be helpful. I've tried a few variations and for each I receive a file not found error.


Assuming you have an analytic app with a File Browse tool, to upload a file into this tool, you will need to use the /user/v2/inputfiles endpoint. This endpoint will return you the reference Id, which you can use in the /user/v2/workflows/appId/jobs to submit the job.


@CodyPedersen @Abdulaziz-Aljandal - Were you ever able to successfully use the InputFiles Endpoint using the Gallery API. I have a javascript application where I'm embedding my analytic app. Everything works except the File Browse tool, and I'm trying to figure out how to make it work. Any suggestions are appreciated!


The workaround is simple instead of taking the file via Browse tool. Just write the data to a table in the database and then take the parameters from an API call to query the database to get the "Uploaded data".


With Amazon S3 bucket policies, you can secure access to objects in your buckets, so that only users with the appropriate permissions can access them. You can even prevent authenticated users without the appropriate permissions from accessing your Amazon S3 resources.


This section presents examples of typical use cases for bucket policies. These sample policies use DOC-EXAMPLE-BUCKET as the resource value. To test these policies, replace the user input placeholders with your own information (such as your bucket name).


To grant or deny permissions to a set of objects, you can use wildcard characters (*) in Amazon Resource Names (ARNs) and other values. For example, you can control access to groups of objects that begin with a common prefix or end with a specific extension, such as .html.


For a list of the IAM policy actions, resources, and condition keys that you can use when creating a bucket policy, see Actions, resources, and condition keys for Amazon S3 in the Service Authorization Reference.


You can use your policy settings to grant access to public anonymous users which is useful if you're configuring your bucket as a static website. This requires you to disable block public access for your bucket. For more information about how to do this, and the policy required, see Setting permissions for websiteaccess. To learn how to set up more restrictive policies for the same purpose, see How can I grant public read access to some objects in my Amazon S3 bucket? in the AWS Knowledge Center.


Before you complete this step, review Blocking public access to your Amazon S3storage to ensure that you understand and accept the risks involved with allowing public access. When you turn off block public access settings to make your bucket public, anyone on the internet can access your bucket. We recommend that you block all public access to your buckets.


Before you complete this step, review Blocking public access to your Amazon S3storage to ensure you understand and accept the risks involved with allowing public access. When you turn off block public access settings to make your bucket public, anyone on the internet can access your bucket. We recommend that you block all public access to your buckets.

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