After people have been using AI for a while and you've gathered substantial feedback and usage metrics, measure the business impact and lessons learned. Hone your strategies accordingly, and continue to adopt new AI features and use cases.
On this page
- Step 1: Conduct an AI impact survey
- Step 2: Review impact and lessons learned
- Step 3: Promote new AI features and use cases
Step 1: Conduct an AI impact survey
Ask employees to evaluate their experience with AI and surface any changes since they completed the baseline survey in phase 1. You'll use this feedback in the next step, to measure impact.
Tip: Create your survey easily in Forms. You get instant results, and you can summarize responses at a glance with charts and graphs. Go to Create a survey in Forms
Click here for sample survey questions
Tip: Ask Gemini to adapt these questions for your organization. To get started, go to Tips to write prompts for Gemini.
Overall value
- In what ways has AI changed how you perform your job?
- Would you recommend Gemini in Workspace to a colleague? Why or why not?
- Do you feel Gemini for Workspace would be integral to your daily work? Why or why not?
Change from baseline
- Think back to the challenges you described before using AI. How effective has AI been in addressing those challenges?
- Have your expectations for the product been met? If not, what fell short?
Future Improvement
- What is the most important Gemini feature you'd like to see added or improved?
Step 2: Review impact and lessons learned
Based on feedback from users and usage metrics tracked from your Admin console, measure the impact of AI adoption on your business. Measure against the goals you set in phase 1. Work with your executive team to gather insights from this data, and hone your strategies accordingly.
What to measure
Here are sample metrics, grouped by the business values we recommend for setting goals:
| Business value | Time saved (%)... |
|---|---|
| Productivity | Brainstorming |
| Completing tasks | |
| Searching for information | |
| Starting a first draft | |
| Developing content | |
| Catching up on missed meetings, emails, and chats |
| Business value | % change in... |
|---|---|
| Quality of work | Employee proficiency |
| Employee confidence in work output | |
| Reliance on 3rd-parties tools or vendors | |
| Quality of writing, documentation, or presentations |
| Employee satisfaction | Time spent on routine tasks |
| Desire to use AI | |
| Enjoyment working with new technologies | |
| Employee tenure or turnover |
| Customer / partner satisfaction | New leads acquired |
| Positive customer / partner feedback | |
| Revenue |
| Innovation | Efficiency of processes or workflows |
| Time spent developing products or services | |
| Effective communications between teams |
Step 3: Promote new features and use cases
As users become more proficient with AI and as Google releases new features, continue to develop new use cases and goals.
- Track new features—Your Google Workspace administrator should track and announce new releases to employees. They should also handle ongoing feature and security management.
Learn how to Track new releases
- Let users receive educational emails—Your admin can also enable notifications so users receive educational emails about using Google Workspace apps and features.
Learn how to Choose notification preferences
- Update training—Based on learnings and new features, the adoption team should continually update user guides with new and advanced use cases.
- Continue providing support—Google Guides should continue to support their peers, surface feedback, and share best practices.
