How to Turn Make.com AI Survey Results into Action

The Make.com AI survey offers a clear view of how real users are adopting AI, what they expect from automation, and how they want to work with large language models. This how-to guide shows you step by step how to translate those survey findings into concrete improvements in your own automation workflows.

All instructions here are based on the public Make.com AI survey summary, which shares data about how people use AI in daily work, what tools they prefer, and what challenges they face.

Step 1: Understand the Purpose of the Make.com AI Survey

Before you apply any insights, you need to understand why the survey was run and what kind of information it collected.

• The survey explores how users approach AI in their roles.
• It looks at how often AI tools are used in workflows.
• It highlights benefits, frustrations, and expectations about automation.

By recognizing the scope, you can decide which parts are most relevant to your business processes, teams, or clients.

Step 2: Identify Key Themes from the Make.com Report

The article on the Make.com blog groups insights into several main themes. To build a practical plan, read through and write down these themes in your own words.

For example, the survey sheds light on:

• How familiar people are with AI concepts.
• Which tasks are most commonly automated.
• What people find difficult about integrating AI into existing tools.
• How comfortable users are with experimenting and iterating.

Turn each theme into a short problem statement. This will help you design concrete workflows in later steps.

Step 3: Map Survey Findings to Your Make.com Use Cases

Now connect the survey insights to your current automation scenarios. Use a simple three-column approach.

1. List your existing automations. For example, lead intake, customer support triage, or report generation.
2. Match a survey insight to each use case. For instance, if survey respondents say they want faster content drafting, map that to any content-related scenario.
3. Note gaps and opportunities. This might include missing AI steps, manual reviews, or poor data handoffs.

By creating this map, you build a direct bridge between the Make.com survey data and practical improvements in your own workflows.

Step 4: Design Workflows that Reflect How Users Work with AI

The survey explains that users often combine AI tools with traditional automation. Use those patterns when you design or optimize scenarios in Make.com.

Combine Automation with Human Review

Many respondents want AI assistance without losing human oversight. You can mirror this pattern by setting up flows that:

• Use AI to generate or summarize content.
• Route outputs to a human for quick review.
• Log the final result in your CRM, help desk, or data store.

This approach respects the way survey participants say they prefer to work: AI does the heavy lifting, people make the final call.

Follow Survey-Backed Use Cases in Make.com

According to the survey, popular AI use cases include text generation, classification, and data enrichment. Translate these into practical Make.com scenarios such as:

• Drafting email responses from support tickets.
• Classifying incoming messages by topic or urgency.
• Enriching lead data using public or internal information.

When your workflows mirror the most common survey use cases, adoption becomes easier across teams.

Step 5: Prioritize Features Based on the Make.com Survey Data

The Make.com AI survey does not only describe behavior; it also highlights what users want more of. Use those preferences as a roadmap.

Focus on High-Impact AI Features

Survey responses typically point to capabilities that users feel are missing or underused. Translate these into a simple priority list:

1. Immediate wins: Simple text generation steps, quick summaries, and content clean-up.
2. Medium-term projects: Multi-step flows that combine AI with condition logic and data routing.
3. Advanced experiments: Multi-agent or multi-model setups and complex decision trees.

Start with immediate wins to build confidence, then move into more advanced scenarios once teams are comfortable.

Align Training and Documentation to Survey Insights

The survey also indicates that users often need guidance on how to apply AI in real work. Support adoption by:

• Documenting simple patterns that anyone can copy.
• Sharing internal how-to guides for key departments.
• Providing short training sessions or videos for your team.

This ensures that your organization does not just enable AI in Make.com, but actually uses it effectively.

Step 6: Build Feedback Loops Inspired by the Make.com Survey

The survey itself is a structured feedback loop. You can replicate this method inside your company to improve your automations over time.

Create an Internal AI Usage Survey

Use the Make.com report format as a model and run your own internal survey. Focus on questions like:

• Which workflows save the most time.
• Where users still switch to manual work.
• Which outputs need frequent editing.
• What additional AI steps teams would like to see.

Collect answers regularly and turn them into a quarterly backlog of automation improvements.

Iterate on Scenarios Using Real User Input

Once you gather internal insights, refine your Make.com scenarios by:

1. Adding or adjusting AI steps based on feedback.
2. Improving prompts and conditions to reduce errors.
3. Documenting each change so teams can understand what improved and why.

This mirrors the way the Make.com survey captures community input and transforms it into product and feature direction.

Step 7: Benchmark Against the Make.com Community

The AI survey does more than describe internal product usage; it places your efforts within the broader ecosystem of automation practitioners.

Use the public report at the Make.com AI survey page as a benchmark to compare:

• Your rate of AI adoption across departments.
• The diversity of AI-powered workflows you run.
• The types of tasks you automate vs. what others prioritize.

This comparison can highlight whether you are ahead of, aligned with, or behind the broader automation community.

Step 8: Connect Survey Insights to Broader Automation Strategy

The Make.com AI survey is most valuable when used as part of a longer-term strategy rather than a one-time reference.

To embed it into your planning:

• Review the report when planning quarterly automation goals.
• Use it to support budget discussions about AI investments.
• Align your use cases with what the wider community proves is effective.

If you need strategic help connecting AI survey insights to a full automation roadmap, agencies such as Consultevo specialize in workflow design, tool selection, and optimization.

How to Keep Learning from Make.com AI Insights

The AI landscape continues to evolve, and the Make.com community evolves with it. To get ongoing value from the survey data:

• Revisit the survey summary regularly to spot new patterns.
• Document your own experiments and outcomes.
• Share internal case studies so teams can copy what works.

By treating the Make.com AI survey as a blueprint for continuous improvement, you can design workflows that reflect how real users think, work, and succeed with AI-powered automation.

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