The importance of tool testing for managers
At a time when technologies are changing rapidly, many managers are faced with the challenge of choosing the right tools for their projects. This includes systematic tool testing, which not only shows which tools are available on the market, but above all which solutions meet their own requirements in a meaningful way. Tool testing helps to make a well-founded selection and to manage digital development in a targeted manner.
Many clients report that without structured support in tool testing, they are often confronted with an overwhelming variety of offers. They are looking for guidance to avoid blindly selecting the supposedly best AI tools. Coaching can provide impetus here on how to proceed pragmatically, because when it comes to tool testing, it is important to focus on the concrete benefits for your own company and not just on technical features.
Practical approach to tool testing
When tool testing, it is important to test the tools using real use cases. Managers should ask themselves which functions they really need. For example, do they want to introduce an AI chatbot that answers customer enquiries automatically? Or is the focus on an analysis tool that processes large amounts of data efficiently? Specific scenarios like these help to test and select tools in a targeted manner.
Tool testing can also be carried out in phases by testing different tools in small projects and visualising their advantages and limitations. This transforms the confusing tool landscape into a well-structured overview that enables managers to take action. Those who allow themselves to be accompanied in this process receive valuable impulses and reflect better on their own requirements.
KIROI BEST PRACTICE at company XYZ (name changed due to NDA contract)
A medium-sized company in the technical services sector used Tooltesting to select an SEO tool with a strong focus on competitive analysis and keyword gap analysis. This tool provided important impetus to improve the digital strategy in a targeted manner and strengthen the company's own position against competitors. The iterative testing process made it possible to test the tool in practice and tailor it precisely to the company's own needs.
Decision criteria in tool testing
Criteria that go beyond simple functional comparisons are helpful. A tool must be able to be flexibly integrated into existing processes, guarantee data security and be scalable. User-friendliness and support are equally important to ensure that the tool provides valuable support in the long term.
There are many options, especially in the area of content optimisation: Tools for keyword research, competitor monitoring and on-page optimisation each offer a different focus. Through tool testing, managers can recognise whether a tool is more suitable for analysing keywords or monitoring the competition, for example. This is the only way to secure strategic advantages in the long term.
KIROI BEST PRACTICE at ABC (name changed due to NDA contract)
After extensive tool testing, a service provider in the healthcare sector decided in favour of a combination of chatbot and data analysis tool. The chatbot successfully took over the initial communication with customers, while the analysis tool helps to efficiently analyse complex data volumes. The iterative testing with narrowly defined objectives helped the team to optimise the use of both tools.
The role of support in tool testing
When searching for suitable AI tools, many managers experience how important professional support can be. Coaching accompanies the entire tool testing process and helps to take the individual situation into account. The team receives impulses on how tests are set up and how results can be evaluated. Clients often report that this structured approach brings security and clarity.
This means that tool testing is not an end in itself, but an essential step that supports the targeted use of technologies. The expertise in coaching ensures that not only technical details are examined, but that strategic issues take centre stage. In this way, managers create the basis for designing and successfully supporting projects with AI tools in the long term.
KIROI BEST PRACTICE at DEF (name changed due to NDA contract)
In a company in the financial services sector, targeted tool testing determined that an analysis tool focussing on data security and user-friendliness was best suited to the internal requirements. Coaching support enabled the test phases to be clearly structured and helped to continuously review the tool's potential over the course of the project.
My analysis
Tool testing is an essential building block in working with AI tools, especially for managers who serve different industries and requirements. Success in digital change is closely linked to the ability to test tools in a pragmatic and practice-orientated way. Structured support creates security and provides important impetus so that the selection of tools becomes a strategic advantage.
Further links from the text above:
[1] Tool test: How decision-makers master AI tools in KIROI Step 2
[2] Tool test in KIROI step 2: The best tools for decision-makers
For more information and if you have any questions, please contact Contact us on the topic or read more blog posts on the topic Artificial Intelligence Blog here.
Deutsch 
English (UK)