Performance feedback
the whole team trusts

The days of writing feedback alone are over: Textio Lift helps managers write their reviews faster while raising the quality bar for everyone. Employees get actionable feedback that actually helps them grow.

 

Available today inWorkday logoandLattice logo

Uber-logo-circle

“We know based on Textios research that written feedback can be biased and problematic. We’re piloting Textio Lift to help managers catch these issues in real-time as theyre writing their feedback, to help them provide more effective and inclusive feedback.”

— Diane Krieman, Director, D&I Strategic Initiatives, Uber

Feedback is your job. Get help from AI.

Forget those trainings you already forgot about. Textio Lift is a scalable alternative that teaches managers how to give fair and actionable feedback as they're writing.

Save time writing reviews

Textio takes your raw notes and turns them into a solid first draft aligned with performance management best practices.

Vetted-safe by Textio Verified

Every word Textio produces is work-safe and bias-free. Talent leaders trust AI content when it’s written with Textio.

Write where you work

Textio integrates with Lattice and Workday, so guidance appears in real-time where managers write their reviews.

Imagine if every manager
could write this well:

Textio example. Explaining the difference between personality feedback and performance feedback.
Textio example. Explaining the difference between personality feedback and performance feedback.

Cut personality comments

Giving feedback on personality traits introduces bias and deprives people of more helpful insights. Textio suggests ways to focus on performance.

Textio example showing the benefits of direct versus indirect writing.
Textio example showing the benefits of direct versus indirect writing.

Be direct

When you hedge your statements, exaggerate, or use clichés, your feedback becomes less fair and honest. Textio helps you speak directly.

Textio example. Showing the importance of providing actionable advice.
Textio example. Showing the importance of providing actionable advice.

Make it actionable

Giving specific examples and suggestions for growth gives people a better chance to succeed. Textio lets you know when those elements are missing.

Textio example. Highlighting the importance of using simple sentences.
Textio example. Highlighting the importance of using simple sentences.

Stay concise

Long sentences and paragraphs can be difficult to follow. Textio helps you be succinct so your feedback is accessible to everyone.

Textio example. Showing a user how they can reduce harmful language.
Textio example. Showing a user how they can reduce harmful language.

Avoid harm

Unconscious bias often shows up in seemingly innocent clichés and sayings. Textio shows you how to remove it and restore trust.

Stop worrying about what's
in your performance reviews

Data table showing performance of a writing sample.
Data table showing performance of a writing sample.

Find and fix inequities in feedback

Analyze your performance review data to surface bias and equity gaps across your organization.

Horizontal stacked bar chart identifying patterns by department.
Horizontal stacked bar chart identifying patterns by department.

Help the groups that need support

Get details on who is getting what kind of feedback, broken out by demographic group and team.

Comparison with a key takeaway showing women received less written feedback.
Comparison with a key takeaway showing women received less written feedback.

Figure out where to focus first

Pull key takeaways to help you act fast on the areas that need the most urgent corrective action.

Who gets the most biased job feedback?

Bias in performance feedback based on race and gender.
Bias in performance feedback based on race and gender.

The patterns of bias in performance feedback are now clear. Download our complete data report.

Feedback your people can really use

Avoid personality feedback
Use direct language
Include specific examples
Break up lengthy paragraphs
Remove harmful phrases
Find language equity gaps
See quality patterns in data
Identify key insights