LinkedIn verifies skills with real app usage data

What happened?

LinkedIn has launched Connected Apps, a feature that allows users to connect their profile with software applications like Figma, Salesforce, GitHub, or Adobe Creative Cloud. Once linked, the platform automatically generates a brief description based on the user's real activity data within those tools. For example, if a designer frequently uses Figma, their profile will show something like 'Has used Figma for interface design over the past 6 months.' These descriptions cannot be manually edited, marking a radical shift from the traditional model where users list skills that cannot be verified. According to The Next Web, the feature launched in June 2026 and is initially available for a select group of applications, with plans to expand to more tools in the future.

Why is this important?

Verification based on real data directly tackles the problem of skill inflation on resumes. According to an Indeed study, 30% of candidates exaggerate their technical competencies. With Connected Apps, recruiters get objective evidence of usage, reducing noise in the hiring process. Additionally, for professionals, it offers a way to stand out with credibility without relying on subjective endorsements. This move aligns with the trend toward verifiable credentials in the job market. Microsoft, which owns LinkedIn, has already experimented with digital badges and blockchain for certifications. Connected Apps is another step toward a professional profile based on objective data, similar to what platforms like Credly or Accredible offer for formal certifications. However, the automation and lack of editorial control is a novel approach that could redefine how skills are presented online.

Consequences for users and companies

For users

• Transparency vs. control: By not being able to edit descriptions, users lose the ability to nuance their experience. Intensive use of a tool does not always equal mastery. For instance, a user might have used Figma mainly for basic tasks, but the description could suggest an advanced level.
• Privacy: Connecting apps involves sharing activity data with LinkedIn. Although the company assures it is only used to generate the description, questions arise about secondary use of that data. In a context of growing privacy regulation (GDPR, CCPA), users should be cautious about the permissions they grant.
• Pressure to maintain connections: If a user stops using an app, the description could become outdated or disappear, potentially penalizing them in searches. This could incentivize continuous use of tools just to keep the profile updated, rather than out of real need.
• Potential for algorithmic bias: Automatic descriptions could favor users who use tools intensively but not necessarily effectively, while professionals with sporadic but high-impact usage could be underrepresented.

For recruiters and companies

• Greater efficiency: Recruiters can filter candidates with verified skills, saving time in technical interviews. According to LinkedIn data, recruiters spend an average of 7 seconds reviewing a profile; Connected Apps could further reduce that time by providing immediate evidence.
• New bias: It could favor users of very popular tools or those with more detailed activity data, leaving out professionals who use less known software or work in data-restricted environments. For example, a developer using GitLab instead of GitHub might not have the same visibility.
• Impact on diversity: If certain tools are more common in large companies or developed countries, professionals from regions or sectors with less access could be disadvantaged.

What should readers know?

The feature is initially available for a select group of applications (Figma, Salesforce, GitHub, Adobe Creative Cloud, among others) and is expected to expand. Users can activate it from the 'Licenses and certifications' section on their profile. It is advisable to review the permissions granted to LinkedIn and consider whether you want activity on certain apps to be public. Additionally, this feature could integrate with LinkedIn Learning or talent management systems, creating a continuous verification ecosystem. Users should be aware that by connecting an app, they are granting access to usage data that LinkedIn could use for other purposes, such as improving recommendation algorithms or selling aggregated data to employers. It is also important to periodically monitor the generated descriptions to ensure they accurately reflect experience.

Historical context

This move aligns with the trend toward verifiable credentials in the job market. Microsoft, which owns LinkedIn, has already experimented with digital badges and blockchain for certifications. Connected Apps is another step toward a professional profile based on objective data, similar to what platforms like Credly or Accredible offer for formal certifications. However, the automation and lack of editorial control is a novel approach. In the past, LinkedIn introduced 'Skills Assessments' to verify skills through tests, but they had low adoption. Connected Apps could have greater impact by integrating with tools that professionals already use daily. Compared to other initiatives, such as GitHub's 'verified skills' (which show contributions to repositories), LinkedIn goes a step further by generating narrative descriptions.

"LinkedIn is solving the problem of skill credibility, but in doing so, it also centralizes the power to define what it means to be competent in a tool." — Analyst at TheVortiq

Speculations and risks

It is unclear how LinkedIn will verify the authenticity of activity data, especially if connected apps do not provide granular data. Nor has it been detailed whether there will be an appeals system for incorrect descriptions. In the long term, a market for 'activity falsification' could emerge through bots or simulated app usage, requiring countermeasures. Additionally, the feature could exacerbate 'metric culture,' where professionals feel pressured to accumulate usage hours rather than develop deep skills. Another risk is dependence on LinkedIn as a gatekeeper of credibility: if the platform decides to change the criteria for generating descriptions, it could affect the visibility of many users. Finally, privacy remains a concern: although LinkedIn claims data is only used for descriptions, the company has a history of using data for advertising and AI training, which could generate distrust.