Key Concepts in EnjoyHQ

	A	B	C
1	Created by	Please make a copy of this sheet and add it to your drive before modifying the content. You can also download it on your computer.
2	www.getenjoyhq.com
3		Purpose	Examples
4	Projects	A project is a workspace where you can add all the raw data related to your research question and analyze and write down your findings and insights.	Personas New features/products Hypothesis Usability testing
5	Project Labels	Labels are use to organize your projects so they are easy to filter and find by colleagues. You can use multiple labels for projects, some teams combine labels that describe the type of study, the product or product area it relates to. You can use as many labels as you need.	Label 1: Usability Label 2: Onboarding Label 3: IOs App
6	Documents	We use the term "Documents" to describe data in EnjoyHQ. It could be a note, a video or interview transcript. They are all documents in the context of EnjoyHQ. Normally is your raw data.	Interview transcript Survey responses Support tickets Research Notes Video files
7	Highlights	Highlights are snippets of text that contain evidence that is relevant to your research question. Normally they are customers quotes describing their behavior or problems.	Customers quotes Short Statements
8	Tags	Tags are mostly use for analysis. We recommend using tags for high level classification.	Feature request UX Issue Pre-Sales Signup Usability Problem Onboarding Bug Upgrade Integrations Trial End / Non-Upgrade General Feedback Retention Cancellation
9	Properties	You can think of properties as super tags. You can use properties to add more context to your highlights. They are very flexible in that you can create one property and associate multiple values to it. That way you can create patterns for classification.	Property: Objection Values: No budget No buy-in Customer missed value Internal Barrier Needed more support Stuck in status quo Critical feature is missing Failed security review Property: Product Area Values: Account settings Uploads Exports API Check-out Billing
10	Stories	You can think of Stories as mini-blog posts that help you capture your learnings and share insights with your team and entire organization. You can think about Stories as more digestible research reports. For Atomic research fans, at Stories is your unit of insight. It is the finding and any data point that can help back it up.	Users that successfully add seven friends to the platform stay active and have more sessions than users that do not invite friends. User experience high levels of anxiety when booking a nanny outside their neighbourhood. Color blind users where unable to find the export feature on the dashboard.
11	Stories Labels	Labels are use to organize your Stories so they are easy to filter and find by colleagues. You can use multiple labels for Stories, some teams combine labels that describe the type of insight, the product or product area it relates to. You can use as many labels as you need. In the same way you use labels to organize your projects, you want to use labels to organize your insights. It is ok if they overlap, the idea is to make it as easy as possible for the rest of the organization to find information.	Label 1: Onboarding Experiment Label 2: User Motivation Label 3: Product Area
12	Research Summaries	Research summaries are the equivalent of your research reports. You can write a summary within a research project or you can also group a series of Stories and share them as the final outcome of your research. Both the project summary and the stories have the same purpose, to help you share insights easily. The benefit of creating Stories is that you make your findings more digestible and you can link them to each other as you generate more insights. However, there will be time when writing a long summary document will be the best approach and that when Project Summaries can help. You can always attached Stories to summaries anyway so they don't have to work separately. All read-only users have access to both Summaries and Stories.	Summary: Revised Personas for the Enterprise Segment.
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