In many companies, strategic goals sound like this:
These statements describe wishes - but not controllable goals.
The problem quickly becomes apparent in everyday life:
Ideas, prompts and individual automations emerge.
But after a few months, the crucial question remains unanswered:
What has actually improved?
Without a clear definition of objectives, AI quickly becomes a tool gimmick with no strategic effect.
This is exactly where OKRs (Objectives & Key Results) come into play.
They help you to turn vague intentions into measurable progress
There are three typical reasons why goals are rarely formulated clearly.
Many goals arise spontaneously:
"We should use more AI."
This is an idea, but not a goal.
A goal must always contain three things:
Many companies start with:
But tools are only tools.
The central question must always be:
What result do we want to improve?
Many organizations work without a clear target system.
OKRs offer a simple structure here.
OKRs consist of two elements.
A qualitative objective that provides direction.
Example:
Our marketing generates predictable qualified leads via AI-supported content production.
Measurable results.
For example:
Objective:
We want [improvement or change]
Key Results:
Large language models can help enormously with target definition.
Especially for three tasks:
1️⃣ Specify goals
2️⃣ Develop metrics
3️⃣ Critically examine target systems
In this article, we deliberately use three different AI systems:
And we look at how each tool can be used in the OKR process.
Gemini is particularly suitable for:
Imagine the following scenario:
A consulting company with 20 employees wants to use AI.
The initial goal is:
"We want to make greater use of AI in the company."
That's too vague.
So we start with Gemini.
We are a consulting company with 20 employees. Our goal is to use AI sensibly in the company. Help us to derive possible strategic corporate objectives from this. Formulate 5 possible objectives using the OKR method and suggest possible key results for each.
Gemini often generates multiple perspectives:
AI increases the productivity of our consultants.
Key Results:
AI improves the scalability of our marketing.
Key Results:
Gemini is particularly suitable for:
You quickly get
Gemini works here like a strategy workshop partner.
Once several target directions exist, they need to be structured.
This is where ChatGPT comes into play.
ChatGPT is particularly strong at:
We are a consulting company with 20 employees. We want to achieve the following strategic goal: AI should make our consulting processes more efficient. Create a clear OKR set for a period of 90 days. The objective should be formulated in an inspiring way. The key results must be measurable.
Objective:
AI significantly increases the operational efficiency of our consulting team.
Key results:
1️⃣ Reduce proposal preparation from an average of 3 hours to 1 hour
2️⃣ Reduce research time per project by 40%
3️⃣ 80% of consultants actively use AI at least twice a week
4️⃣ Reduce project preparation per customer from 5 hours to 2 hours
ChatGPT helps very well with
It acts like a strategy consultant that creates order.
Now comes the most important step:
The critical examination of the OKRs.
Many OKRs look good at first glance - but are difficult to measure in practice.
Claude is particularly strong at:
Critically evaluate this OKR set.
Objective: AI significantly increases the operational
efficiency of our consulting team.
Key results:
- Reduce proposal preparation from 3 hours to 1 hour
- Reduce research time per project by 40 % - 80 % of
consultants use AI twice a week
- Reduce project preparation from 5 hours to 2 hours
Please check:
1. are these key results really measurable?
2. where could implementation problems arise?
3. what improvements would you suggest?
Claude could answer:
"80% of consultants use AI twice a week"
Problem:
Improvement:
80% of consultants document at least two AI-supported work steps in the internal project tool every week.
"Reduce research time by 40 %"
Problem:
Improvement:
Reduce average research time per project from 2.5 hours to 1.5 hours.
Claude works excellently as a:
critical sparring partner.
It helps with:
The best approach is not one tool.
But a workflow consisting of several systems.
Gemini → Ideas and perspectives
ChatGPT → Formulate structured OKRs
Claude → Critical analysis and improvement
This process often only takes 20-30 minutes.
A strategy workshop would normally take several hours.
If you want to develop OKRs with AI, start like this:
List your current goals or wishes.
For example:
Use Gemini for ideas.
Prompt:
Formulate possible OKR objectives from these strategic
wishes.Use ChatGPT for structure.
Prompt:
Create a clear OKR set for 90 days.Use Claude for criticism.
Prompt:
Check these OKRs for measurability and feasibility.Define baselines:
All three systems have different strengths.
Strengths:
Ideal for:
early phase of goal definition
Strengths:
Ideal for
concrete OKR formulation
Strengths:
Ideal for:
Quality inspection of OKRs
The best approach is a combination:
Gemini → Ideas
ChatGPT → Structure
Claude → Criticism
The result is a vague wish:
"We want to use AI."
A measurable target system such as:
Objective:
AI increases the operational efficiency of our consulting team.
Key Results:
And this is where the real competitive advantage arises:
Not through AI tools - but through clear goals.
If you not only want to understand AI, but also use it in a structured way in your company, then:
👉 Find out more about our AI training:
https://bloo.school
👉 Find out about our Smart Market Fit offers:
https://bloola.com/smf - The Smart Market Fit course
https://bloola.com/smf-system - The Smart Market Fit system for companies
👉 Or find out more about our consulting and automation solutions:
https://bloola.com