Frequently Asked Questions

Clarifying our lab-based planning methodology

What is lab-based planning?

Lab-based planning uses controlled experimental setups to test and refine workflows before they are applied at larger scales, reducing uncertainties and enhancing process reliability.

How does TrueLabon’s approach work?

Our approach involves initial assessments, custom protocol design, simulation trials, and implementation support, ensuring each stage is validated in a laboratory environment.

Who benefits from lab-based planning?

Organizations seeking structured, evidence-driven process development and those aiming to mitigate risks during project rollouts can benefit from our methodology.

What is the timeline for a typical project?

A typical project spans 8–12 weeks, including assessment, design, trials and support phases, though timelines may vary based on complexity.

How can I get started with TrueLabon?

Lab-based planning applies scientific rigor to project development by treating each initiative as a controlled experiment. This method uncovers actionable insights through structured testing rather than relying on standard forecasting techniques.

Is lab-based planning suitable for small teams?

Yes. Small teams benefit from modular experiments that limit resource commitment, allowing focused testing of critical assumptions before scaling up.

What industries can adopt True-value lab-based planning?

Our approach fits industries centered on innovation, product design, service development, operational improvement and process optimization across both public and private sectors.

How long does it take to see tangible insights?

Most organizations observe clearer decision pathways within several iterative cycles over a period of weeks, depending on the complexity of the hypotheses and the availability of data.

How do you measure the true value identified in experiments?

We focus on customized performance metrics such as process efficiency, stakeholder feedback scores and resource utilization to quantify the impact of each experiment.