These suggestions are based on LinkedIn’s deep understanding of its professional network and jobs market.

For example, the user’s title/locale is used to pull the right set of work experience examples to display in the panel, along with a set of suggested skills to cover in the resume and a list of jobs that may be of interest to the user.

Automatically retrieving this data smooths the user experience in Resume Assistant. The Resume Assistant gets this data through the Office JavaScript API. Without the user’s consent from this onboarding page, Word users won’t enter the LinkedIn-powered Resume Assistant experience, and no user’s data is sent to LinkedIn.Īfter the user consents to use Resume Assistant, the Resume Assistant retrieves the job title and other information that has been extracted by the Microsoft Resume Info Extractor. Unlike other pages in Resume Assistant, this onboarding page is hosted by Microsoft. Though the Resume Assistant onboarding page is a very simple, static web page with a button to ask for the user’s consent, it is a key component of protecting the user’s privacy.

The Resume Classifier detects if a user opens a resume in Word and then triggers the opening of the LinkedIn Resume Assistant onboarding page. Let’s introduce Resume Classifier and Resume Info Extractor first. The Microsoft team took ownership of everything that happens in and is heavily-embedded in Word, e.g., Resume Classifier, Resume Info Extractor, the onboarding page, etc., while LinkedIn engineers focused on building the main UI, service, and relevance model of the Resume Assistant feature. Resume Assistant was built as a hybrid feature inside Word applications by both LinkedIn engineers and Microsoft engineers. Stay tuned for Part 2, where we’ll share more on the AI model used to pull in the best content possible for users of Resume Assistant. This blog will talk about the engineering and design challenges we faced during product creation and how we solved them together with the team at Microsoft. In the first part of this two-blog series, we’ll discuss the development and design process of Resume Assistant. As shared in a post by the Microsoft team last fall, “nearly 70 percent of people say they have difficulty portraying their work experience effectively, and 50 percent struggle to tailor their resume to a specific job opportunity.” Resume Assistant provides intelligent tools to help job seekers improve their resumes, right from within Microsoft Word.

Finding the right words to describe your work experience, knowing what skills you should highlight to attract employer interest-these can be challenging tasks. In November 2017, Microsoft and LinkedIn introduced an exciting integration between the companies: Resume Assistant.

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