Understanding Your Review Dashboard
Last updated September 27, 2024
Welcome to the guide on navigating your Review Dashboard at Okendo! This powerful tool helps you analyze customer feedback and insights, enabling you to make informed decisions to enhance your business. In this article, we'll walk you through the key features of the Review Dashboard and provide step-by-step instructions on how to effectively utilize it.
How to Navigate Your Review Dashboard
- Log In to Your Okendo Account
- Go to the Okendo website and enter your credentials to access your account.
- Access the Review Dashboard
- From the main menu, click on "Analytics" and then select "Review Dashboard."
- Explore the Overview Section
- The Overview section displays a summary of key metrics, including total reviews, average rating, and response rate. Take a moment to familiarize yourself with this data.
- Filter Your Data
- Use the filters available on the left sidebar to narrow down your data by date range, product category, or specific products. This will help you focus on relevant insights.
- Analyze Customer Feedback
- Scroll down to view individual reviews. Pay attention to recurring themes in customer feedback, such as product quality, shipping times, or customer service.
- Utilize Sentiment Analysis
- Check the sentiment analysis feature, which categorizes reviews into positive, negative, and neutral sentiments. This can help you gauge overall customer satisfaction.
- Download Reports
- If you need to share insights with your team, click the "Download" button to export reports in your preferred format (CSV, PDF, etc.).
- Set Up Alerts
- Consider setting up alerts for significant changes in review patterns, allowing you to respond quickly to emerging trends.
- Review Recommendations
- Check the recommendations provided by Okendo based on your data. These insights can guide you in improving your products and services.
- Regularly Monitor Your Dashboard
- Make it a habit to review your dashboard regularly to stay updated on customer sentiments and make data-driven decisions.
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