Project Feedback & Results Review

Review and Feedback on Project Results and Approach

Reviewing and receiving feedback on SEO projects is essential for continuous improvement and refining your analytical approach. By assessing the effectiveness of your SEO project using Google Search Console, BigQuery, and Looker Studio, you can identify areas for optimization and enhance your SEO skills. This section outlines steps for SEO project feedback and how to apply insights to improve future projects.

1. Evaluating Project Goals and Outcomes

Begin by assessing whether the project met its initial objectives. Review your goals, such as identifying high-potential keywords, understanding seasonal trends, or improving page-level performance.

  • Step 1: Revisit Original Goals: Look at the goals you set before starting the project. Did you achieve the expected outcomes? For example, if the goal was to increase CTR for a set of high-impression keywords, did you observe measurable improvements?
  • Step 2: Analyze Metrics in Looker Studio: Use your Looker Studio dashboard to compare metrics before and after the project. Look for changes in clicks, impressions, CTR, or ranking improvements.

Example: If one of your objectives was to identify underperforming pages and improve their CTR, use your dashboard to track CTR changes over time for those specific pages, confirming if adjustments had a positive impact.

2. Gathering Feedback from Stakeholders

Input from colleagues, managers, or stakeholders provides a well-rounded perspective on the project’s impact and areas for improvement.

  • Step 1: Share Project Results: Share Looker Studio dashboards or specific findings with relevant stakeholders. Invite them to explore the data interactively.
  • Step 2: Ask for Specific Feedback: Request feedback on whether the data presentation was clear, whether insights were actionable, and what could have been improved in the analysis.

Example: Ask a team member to review the project’s focus on device-specific SEO performance, seeking input on whether the analysis revealed actionable insights for mobile optimization efforts.

3. Reviewing the Effectiveness of Data Processing in BigQuery

BigQuery’s data structure and queries are crucial for accurate and efficient analysis. Evaluate the effectiveness of your data processing approach.

  • Step 1: Check Query Efficiency: Look for ways to streamline queries, such as minimizing data processing time or reducing query costs by optimizing your SQL commands.
  • Step 2: Identify Areas for Customization: Consider if there are custom metrics or dimensions that would enhance analysis, like combining branded and non-branded keyword data, or segmenting by country or device.

Example: If your original BigQuery setup didn’t account for branded vs. non-branded keywords, consider creating new fields in BigQuery to better segment this data in future projects.

4. Assessing Dashboard Design and User Experience in Looker Studio

The way data is presented in Looker Studio affects how easily insights are understood and acted upon. Evaluate the dashboard for usability and clarity.

  • Step 1: Test Dashboard Usability: Review the layout, labels, and chart types. Are they easy to interpret? Can stakeholders quickly find the insights they need?
  • Step 2: Optimize Interactivity and Filters: Ensure that filters (e.g., date range, device type) work as expected and make the data more useful for different audiences.

Example: If the dashboard had too many charts, simplifying it by focusing on the most impactful metrics can make it more accessible. Additionally, ensure each chart is labeled clearly, so users know what they are analyzing.

5. Analyzing Long-Term Impact and Opportunities for Improvement

Once feedback has been gathered and initial results are clear, take a step back to evaluate the long-term impact of the project and identify areas for improvement.

  • Step 1: Track Metrics Over Time: Establish a timeline to track key metrics over the following months, assessing if the initial impact holds.
  • Step 2: Identify Lessons Learned: Reflect on what worked well and what could be improved for future projects. Document any specific queries, analysis techniques, or dashboard layouts that were particularly effective.

Example: If analyzing keyword performance was successful, consider documenting the process and specific queries used. This documentation can streamline similar analyses in the future.

6. Incorporating Feedback into Future SEO Projects

Use insights gained from this project’s review to enhance future SEO analyses.

  • Step 1: Adjust Analysis Techniques Based on Feedback: Integrate suggestions on metrics, data segmentation, or visualization approaches into your workflow. For instance, if stakeholders wanted more emphasis on device-specific trends, you could add this analysis to future projects.
  • Step 2: Create a Feedback Loop: Regularly review your SEO projects, apply lessons learned, and seek ongoing feedback. This cycle of review and adaptation will continuously improve your BigQuery and Looker Studio skills, leading to more precise and actionable SEO insights.

Summary

Reviewing and seeking feedback on your SEO project results provides valuable insights for continuous improvement. By evaluating goals, gathering stakeholder input, optimizing data processing in BigQuery, refining dashboards in Looker Studio, and documenting lessons learned, you can enhance the quality and impact of future SEO analyses. This feedback-driven approach ensures that each project builds upon the last, helping you grow your SEO skills and deepen your expertise in GSC, BigQuery, and Looker Studio.

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