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Output tutorial

Real pilot case tutorial

A week 2 tutorial for collect real feedback through one inspectable output.

Week 2 output real pilot case No signup required
Start with the steps Run my assessment

When this is the right output

Use this after week one creates replies, material access, or continued conversation.

Prepare before you start

  • Week-one output and feedback log
  • 1-2 people willing to keep talking or testing
  • Real material needed for this week's output

Public case breakdown

How Stellantis &You UK used Make for aftersales messaging

The aftersales team was overloaded by phone and in-person communication. In Make's case, intent and sentiment classification routed ordinary messages to automation and subtle dissatisfaction signals to human follow-up.

Source

Make customer care success story

47,000+ messages analyzed and 18,000+ handled automatically over 12 months

It did not start as a huge system

Classify first

The workflow judges intent and sentiment before attempting any response.

Keep human boundaries

Negative, ambiguous, and risky messages are escalated to people.

Track outcomes

The team measures handled volume, escalation, and customer feedback instead of showing only a workflow diagram.

What to copy

Sell saved time, not the diagram

Clients buy less repeated work and fewer missed issues, not the automation canvas.

Automate low-risk work first

Classification, sorting, notification, and logging are safer first steps than full auto-replies.

Price from before-after evidence

Record manual time and post-automation time before quoting a pilot.

Build a small version

Collect 20 historical messages

Pick one niche such as clinics, training firms, or local services.

Create 3 labels

Use only no reply needed, needs human, possible churn.

Run 5 reviewed tests

Let AI classify, review manually, then calculate accuracy and time saved.

Do not promise fully automated support first. Message triage and human alerts are easier pilots to sell.

Build the first version

1

Pick the strongest signal

Choose the person closest to real demand from week-one replies, forms, or DMs.

2

Collect real material

Ask only for material needed to create this week's output.

3

Deliver once

Use AI plus manual review to create a result the user can inspect.

4

Record feedback

Ask what is usable, what is not trusted yet, and whether they want the next step.

Copy-ready templates

Feedback questions

Which part can you use directly? What is not trustworthy yet? If we continue, what should version two change first?

Delivery log

Input material, process, human edits, delivery time, user feedback, next-step intent.

How to decide the next step

Continue when

  • At least one real delivery is completed
  • The customer allows anonymous proof
  • The customer asks for a next step or referral

Change direction when

  • Feedback is polite but creates no next material or trial intent.
  • The result does not enter a real workflow.
  • Every delivery feels like a new custom project.

Tool choices for this output

Tally: forms and surveys

Use: Collect customer material and post-delivery feedback

Alternative: Google Forms

Open tool

ClickUp: work management

Use: Track delivery tasks, time, and customer status

Alternative: Google Sheets

Open tool

Make: automation workflows

Use: Connect repeated notifications and logging

Alternative: Manual SOP

Open tool

Return to the result after you finish this output

In week two, complete 1-2 small pilots and collect feedback that can become an anonymous case.