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Collaborative problem-solving

As explained in AI for Everyday IT

Collaborative problem solving is a joint process in which parties develop solutions that address their respective concerns and shared goals.

Collaborative problem solving is a joint way to resolve disagreement by addressing both parties’ concerns while protecting shared goals, project integrity, and professional relationships. It focuses on underlying interests rather than fixed positions. section 14.1.3

Use the process when a disagreement affects people or the project:

  • Identify the issue and explain its effect on the person or project. section 14.1.3
  • Set aside uninterrupted time for respectful discussion and active listening. section 14.1.3
  • Explore several solutions that address concerns without compromising integrity. section 14.1.3
  • Agree on actions and a timeline, then review the result and adjust if needed. section 14.1.3

Resolving a proposed change

When a requested change creates a disagreement, the parties describe how it affects the project, discuss their underlying needs, compare possible solutions, agree on an acceptable action and deadline, and revisit the outcome later. If the request crosses professional or personal boundaries, they can seek external mediation. section 14.1.3

Figure 14.1 Conflict-resolution process diagram
figure

Follow the conflict-resolution process from issue identification through discussion, solution exploration, agreement, and follow-up. section 14.1.3

How AI for Everyday IT covers it

How deep it goes
Details principles, procedural steps, follow-up, boundaries, and mediation without extending into technical implementation.
Examples
Uses disagreements over project changes, impact statements, solution options, action timelines, and later effectiveness reviews.
What you can do after
Practice/perform a respectful resolution process with issue definition, discussion, option generation, agreement, and follow-up.
How it connects
Connects conflict resolution with active listening, empathy, negotiation, shared goals, and mediation.

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This explainer was generated by Manning's knowledge graph from the text of AI for Everyday IT. The section links point to the parts of the book it draws on.