How to join an existing repository

Atomic UX Research Cheatsheet

Managing team members and access levels

Single Sign On (SSO)

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Understanding Atomic UX Research

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Managing your profile

How to create an experiment

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Reports feature

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What makes a good fact? 

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The four distinct parts are separated by:<ul><li>Experiments&nbsp;“We did this…”</li></ul>What you did to create your learnings. This could be anything from an interview to data collected from Google Analytics.<ul><li>Facts&nbsp;“…and we found out this…”</li></ul>Facts are what we learned. A good fact is a quote, observation or statistic, but it is never our opinion.<ul><li>Insights&nbsp;“…which makes us think this…”</li></ul>Insights are our opinion of why the facts are what they are.We can derive multiple insights from a single fact and we can combine lots of facts from across our repository to create an insight.<ul><li>Recommendations&nbsp;“…so we’ll do that.”</li></ul>Recommendations are what we think we should do with this knowledge.Once again - we might have lots of ideas of what we might do about a single insight and we may bring several insights together to form a recommendation.Good to know: Recommendations are often testable and therefore will create new experiments that will be linked back to that recommendation.<hr>By breaking knowledge down in this way allows for some extraordinary possibilities.We can use evidence from multiple experiments to prove or disprove an idea, allowing us to have a holistic view of what we know.We can create lots of ideas from one lot of evidence, allowing us to think broadly.It allows us to not just record our learnings but also the decisions that we made as a result. Atomic research keeps us evidence led without restricting creativity.

<h2>Get in touch &nbsp;</h2><a href="https://go.crisp.chat/chat/embed/?website_id=2b1ad7f2-64f5-4aba-b2c7-923a08bb4433" target="_blank" rel="noopener noreferrer">Live chat &gt;&gt;</a>&nbsp;<a href="https://gleanly.youcanbook.me/" target="_blank" rel="noopener noreferrer">Book a meeting &gt;&gt;</a><a href="https://join.slack.com/t/gleanly/shared_invite/zt-so03f8ie-BSBwGUgG8sG1WN3lAmSaKw" target="_blank" rel="noopener noreferrer">Join our community on Slack &gt;&gt;</a><hr><h2>Company details</h2> Address: Glean.ly Limited - The Paddocks, Bath, BA2 0DA, United Kingdom.&nbsp; <a href="mailto:hello@glean.ly">hello@glean.ly</a> Registered in England and Wales, Company No.11302009, VAT: GB348800586&nbsp;

<figure class="image"><img src="https://cdn-assets.productfruits.com/14e605ce-7e56-4c76-b2a5-425d320ac871"></figure>We invite you to join us for a live onboarding and training session to talk about:<ul><li>Introduction to Atomic Research</li><li>How to set up and use Glean.ly</li><li>How to create an experiment and add data</li><li>Synthesising data</li><li>Q&amp;A with Daniel Pidcock</li></ul>All webinars are free of costTuesday 27 February, 4pm GMT - <a href="https://docs.google.com/forms/d/e/1FAIpQLSdAoE4CfUNXdasqm3JzJgTMCs2t3w30dBm9NxNO2xfwcSPhvw/viewform?usp=sf_link" target="_blank" rel="noopener noreferrer">Book your place &gt;&gt;</a>&nbsp;

Book a <a href="https://gleanly.youcanbook.me/" target="_blank" rel="noopener noreferrer">remote demo session</a> with one of our Glean.ly experts and your team. Click the link above to find a suitable time.

<figure class="media"><div data-oembed-url="https://www.youtube.com/watch?v=TcGPIyMl_x4"><div style="position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;"><iframe src="https://www.youtube.com/embed/TcGPIyMl_x4" style="position: absolute; width: 100%; height: 100%; top: 0; left: 0;" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen=""></iframe></div></div></figure><a href="https://www.youtube.com/watch?v=TcGPIyMl_x4&amp;t">Watch full screen &gt;&gt;</a><ul><li>0:00 - Introduction&nbsp;</li><li>0:51 - Atomic UX Research</li><li>2:05 - Experiments tab</li><li>3:06 - Viewing an experiment</li><li>3:44 - Sharing an experiment&nbsp;</li><li>4:15 - Understanding the research&nbsp;</li><li>5:29 - Global insights and recommendations&nbsp;</li><li>5:59 - Sharing an insight or recommendation&nbsp;</li><li>8:28 - Evidence score&nbsp;</li><li>8:52 - Insights tab&nbsp;</li><li>10:17 - Recommendations tab&nbsp;</li><li>11:32 - Facts tab</li><li>12:24 - Adding research to an experiment&nbsp;</li><li>12:41 - Connecting insights and recommendations</li><li>13:06 - Bulk upload&nbsp;</li><li>13:21 - Browser tool</li><li>13:30 - Integrations</li><li>13:47 - Tags and Taxonomy</li></ul>

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