Actionable Feedback Policy

At SEOKRU LTD, we thrive on precision. Whether we are optimizing your search presence or building AI automation workflows, your feedback is the engine that drives our iteration. This policy outlines how we collect, process, and act on your input to ensure project success.

1. The Goal of This Policy

We define Actionable Feedback as input that is specific, objective, and tied to project goals. Our aim is to move away from vague critiques and toward collaborative problem-solving.

2. How to Provide Feedback

To ensure your feedback is integrated quickly into our SEO or AI work, we ask that it follows the “S.O.S.” framework:

  • Specific: Identify exactly which element (e.g., a specific keyword, a line of code, or a specific automation trigger) needs attention.

  • Objective: Base feedback on the agreed-upon Project Scope or KPI goals rather than personal preference alone.

  • Solution-Oriented: Whenever possible, tell us the outcome you are looking for (e.g., “The AI response should be more formal” instead of “I don’t like the tone”).

3. Our Feedback Loop Process

Once feedback is submitted via [Your Client Portal/Email], we follow a 3-step protocol:

  1. Acknowledgment: We confirm receipt within [24/48] business hours.

  2. Categorization: We determine if the feedback is a Critical Fix (immediate action), a Strategic Shift (requires a meeting), or a Future Optimization (added to the backlog).

  3. Implementation: We update the project roadmap and notify you once the changes are live.

4. Constructive Collaboration

To maintain the momentum of your SEO and AI campaigns, we ask for:

  • Consolidated Feedback: Whenever possible, please gather feedback from all your stakeholders into a single document to avoid conflicting instructions.

  • Timeliness: Feedback provided within [X] days of a milestone delivery ensures we stay on schedule without delaying the next phase of automation.

5. Our Commitment to You

Feedback is a two-way street. SEOKRU LTD commits to:

  • Being transparent about what can and cannot be achieved within the current technical or algorithmic constraints.

  • Proactively seeking your input at every major project milestone.

  • Admitting when an automated process needs human recalibration and fixing it promptly.