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KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

Start » Tooltest: How decision-makers master the KIROI Step 2
16 November 2024

Tooltest: How decision-makers master the KIROI Step 2

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Tooltest KIROI - Step 2: Decision-makers master software selection


In the digital transformation, every organisation faces the challenge of selecting suitable technology solutions. A structured tool test offers a proven method for making informed decisions. This article shows how decision-makers can successfully master the tool test as part of the KIROI step 2 and which practical approaches support this[1][2].

Ein Tooltest ist für Entscheidungsträger unverzichtbar, da er es ihnen ermöglicht, die tatsächliche Leistung und Eignung eines Tools in einer realistischen Umgebung zu bewerten, bevor sie eine erhebliche Investition tätigen. Dies hilft, kostspielige Fehler zu vermeiden und stellt sicher, dass das ausgewählte Tool die spezifischen Anforderungen und Ziele der Organisation erfüllt.

Many clients come with a central uncertainty: which digital tools are truly suitable for our requirements? A tool test answers precisely this question[2]. Merely looking at product descriptions is not enough. Decision-makers need to experience and evaluate the tools in real scenarios.

A tool test is far more than a technical review. It's about usability, integration into existing systems, and adaptation to individual processes[3]. Clients often report that a thorough tool test not only saves them time but also provides valuable insights that sustainably improve their business processes[2].

The choice of digital tools directly influences the efficiency of projects. Therefore, the time invested in a structured tool test is well worth it. A systematic approach helps decision-makers avoid costly errors.

The tool test in KIROI step 2: Step by step

The KIROI process offers a clear framework for carrying out a tool test. In the second step, AI innovations are tested in a practical, hands-on way [1]. The systematic approach makes it possible not only to consider novel solutions theoretically but also to test them in realistic scenarios.

A successful tool test follows several phases. First, the requirements and use cases must be clearly defined [3]. Then, various tools with different focuses are selected. The next step is the practical testing in real working environments.

Phase 1: Requirements Analysis Before Tool Testing

Every successful tool test begins with a thorough analysis. The precise definition of use cases forms the starting point[1]. Decision-makers must clarify: Which functions are indispensable? Which processes should be optimised? What does the ideal outcome look like?

This analysis phase prevents unnecessary detours later on. Only when the intended scenarios for a tool's effectiveness are clearly defined can the selection process be targeted and efficient[1]. It is advisable to involve various stakeholders in this process. Departments and end-users bring different perspectives[3].

Phase 2: Selection and practical testing in the tool test

Following the requirements analysis, the selection of suitable tools takes place. It is helpful to make use of free trial versions here [4]. This allows different solutions to be compared without obligation, without investing in expensive licences.

The practical testing should take place in real working environments. Use real data and practical scenarios instead of theoretical test environments[1]. A time-limited trial run helps to familiarise yourself with the tool[4].

Phase 3: Systematic collection of feedback during tool testing

During the test phase, systematic recording of results is crucial. Document both positive and critical experiences. This transparent documentation allows for a later comparison of strengths, weaknesses, and integration effort.

The feedback should be multidimensional. Examine the tools technically, in terms of user-friendliness and support [1]. This creates a balanced basis for decision-making when selecting the optimal solution.

Practical examples: tool test in various sectors

The use of a tool test differs depending on the industry and specific requirements. The following examples show how varied the practical application is[3][4].

Energy Supply: Optimisation through Tool Testing

An energy supplier can test various software solutions as part of the tool test that optimise consumption [1]. User-friendliness and interface compatibility are just as much a focus as integration into existing processes.

Training and employee involvement ensure acceptance and valid feedback[1]. Such an approach guarantees that the chosen solution will indeed be accepted by all stakeholders.

Office Organisation and Administration: Automation in Tool Testing

In office organisation, automation solutions for routine tasks are being tested. A financial service provider examined various contract management tools, placing importance on user-friendliness and integration into the IT infrastructure.

The testing of document management systems is also a common use case. Companies test how well these solutions support collaboration [2]. The integration of communication tools is also examined in the tool test to enable efficient teamwork.

Event Management: Tool Test for Automation

Event managers tested tools for automating registration processes and participant communication[4]. The tool test showed which providers impressed with intuitive operation and reliable integration.

Through correct selection, these organisations saved time and resources [4]. Such a result shows how practically relevant a structured tool test is.

BEST PRACTICE with a customer (name hidden due to NDA contract): A service company was unsure which project management tool best suited their requirements. As part of a structured tool test, they tested four different solutions over four weeks with real projects. The team systematically documented which functions were used frequently and where frustrations arose. The result: They chose a tool that, while not the most expensive, achieved the highest satisfaction among all stakeholders. Six months later, the client reported a 25 percent improvement in project execution and significantly higher team acceptance.

Evaluation criteria in tool testing: What's truly important?

An effective tool test requires clear evaluation criteria. Decision-makers first define which functions are particularly important [4]. The following criteria help with a structured evaluation.

User-friendliness and user interface

User-friendliness is often crucial for success[1]. A tool with an intuitive design will be accepted more quickly and lead to better results. Therefore, test how intuitive the tool is to use. Can new users work with it quickly?

Technical integration and compatibility

Integration into existing systems plays a central role[1][3]. No matter how powerful a tool may be, if it doesn't work with existing infrastructure, problems will arise. Therefore, thoroughly check interfaces, data exchange, and technical requirements.

Value for money

The budget is an important aspect. However, the lowest price should not automatically lead to a choice being made. Instead, assess which benefits justify which price. A costly tool can quickly pay for itself through efficiency gains.

Concrete tips for a successful tool test

Decision-makers can significantly increase the chances of success in their tool tests with practical measures. The following tips have proven successful in practice [1][4].

Multidimensional assessment in tool testing

Don't just assess tools technically. Also include aspects such as support, training materials, and community in your evaluation. This will give you a complete picture of the solution.

Utilise realistic test scenarios

Use real data and practical scenarios[1]. For example, try creating a project presentation or drafting a customer letter[4]. This will quickly show you if the tool is suitable for your day-to-day work.

Involve all stakeholders

Involve different departments early on. Specialist departments and end-users provide diverse feedback. Only in this way will the solution be accepted and used by everyone later on.

Time-limited trials

Start with a small, time-limited test run. This allows you to quickly determine if the tool is a good fit without a long-term commitment. Four to eight weeks are usually sufficient for a meaningful evaluation.

Overcoming Common Challenges in Tool Testing

Decision-makers often encounter challenges during tool testing. Understanding these hurdles helps to proactively overcome them[2][3].

Abundance of opportunities

Clients often report feeling overwhelmed by the sheer number of options available[4]. The market offers hundreds of tools, all with different functions and prices. Here's where a structured approach helps: First, define your requirements, then narrow down your choices.

Resistance to the change

Employees are sometimes sceptical of new tools. Training and a transparently designed trial period can reduce this resistance[1]. Demonstrate the added value concretely and involve those affected early on.

Incomplete data sets

A tool test only yields good results if the test data is realistic[1]. Avoid tests with anonymised or simplified datasets. Use real data to obtain valid feedback.

Tool testing as process support: Support through coaching

Many decision-makers benefit from professional guidance. Transruption coaching supports companies with projects related to tool testing[2]. Structured coaching imparts proven methods and saves time.

In the coaching process, requirements are analysed and priorities are set. Together, concrete steps are developed on how suitable AI tools can be implemented step by step. Clients often report that this support helps them reach well-founded decisions more quickly.

Coaching also offers the advantage that you do not bear the responsibility alone. An experienced coach helps to change perspectives and recognise hidden risks. This makes the tool test a secure investment.

The importance of documentation and follow-up

Following the tool test, the follow-up phase begins. This stage is often underestimated, yet it is central[3]. Document all findings transparently. This creates a solid foundation for the final decision.

Here is a comparison of the tools tested. Note which features worked well and where there were weaknesses. This documentation will be valuable when training staff later or negotiating with suppliers.

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