Megan Wells
Imagine co-creating with artificial intelligence (AI) engineered to elevate your experimentation process in impactful and brand-authentic ways. Evolv AI’s latest feature, knowledge management, is a key tool that makes this possible.
Evolv AI’s knowledge management feature is an enhancement to our automated UX recommendations. Automated recommendations leverage computer vision to identify why customers aren’t converting, how to fix it, and the potential revenue impact associated with each change. Knowledge management then enriches the recommendations by empowering users to add business-specific intelligence into the AI to better align with a company’s brand strategies and goals.
Knowledge Management Benefits
Knowledge management empowers organizations to seamlessly manage, retain, and share critical business knowledge specific to experimentation programs for more aligned and informed decisions - and with more precision.
- Solve challenges of limited high-impact tests: Many teams struggle to create a roadmap of digital experience improvements that consistently yield significant results. Typically, only 1 in 10 experiments results in a winning variant. Knowledge management offers contextually relevant and personalized experiences that increase the quality and impact of generated ideas.
- Reduce cost to deliver: Traditional agency ideas can become stale and require substantial investment with long-term contracts. Knowledge management reduces these costs by enhancing idea generation with rich data reapplication for continuously fresh and meaningful experiences.
- Protect your baseline: It’s hard to pick a winning experiment every time. In fact, sometimes new experiences can negatively impact performance metrics. Knowledge management enhances decision-making by ensuring all changes are informed by comprehensive, business-specific data, protecting your core metrics, and reducing the need to invest in getting back to baseline.
What You Can Add into Evolv AI’s Knowledge Management System
With Evolv AI’s knowledge management feature, users have the power to train the AI with information specific to their business. Here are examples of information and documents that can be utilized with knowledge management:
- Brand: Upload visual design, photography, and writing guidelines to allow AI to identify misalignments in the customer experience with your brand and goals.
- Marketing: Provide information regarding marketing campaigns, target personas, market research, messaging hierarchies, audiences and more to generate relevant ideas and opportunities that align every customer experience.
- Product: Show the AI how your product works and describe the intended and observed customer journey. This detailed information enriches the AI’s understanding of page design and expected functionality.
- User Research: Upload user research to provide context to user profiles and past design changes. By describing previously tested ideas, you can prevent the AI from recommending ineffective solutions.
- Legal: Include information about legal requirements that the customer experience must adhere to, such as GDPR guidelines or restricted language, so you can move into production with confidence.
Additionally, users can easily remove, add, filter, or update documentation to confirm that the AI's knowledge of their business continues to stay accurate and ongoing.
Ready to get started? Contact our sales team to learn more!
