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Decision Frameworks

The 3E Framework

The Empirical & Experiential Evidence (3E) framework is a decision-making framework for management that combines empirical data and experiential insights to reconcile conflicting information, recognizing the gap between academic research and organizational realities.

THE IDEA

The 3E Framework

Management decisions draw on several kinds of knowledge: operational data, academic research, and the experience of people doing the work. These sources can point in different directions. A manager needs a way to assess their relevance and decide what to do when they conflict.

Banasiewicz argues that management differs from professions with standardised qualifications and a more clearly defined body of practice. Managers often work across changing problems, competing interests, and uncertain conditions. His comparison with medicine and law is an argument for adapting evidence-based practice to management, rather than assuming that any profession gives its practitioners full control over outcomes.

He also criticises the gap between academic management research and organisational practice. Research may address a different setting or question from the one a manager faces. That does not make systematic reviews useless; it means their findings need to be assessed alongside local data and experience.

The Empirical & Experiential Evidence (3E) framework combines those inputs. Empirical evidence includes operational data and academic research. Experiential insights come from people’s work and judgments. Neither source deserves automatic priority: a large dataset may measure the wrong thing, and a persuasive personal account may not be representative.

The 3E process retains the general sequence of asking a question, acquiring evidence, appraising it, aggregating it, applying it, and assessing the result. Its aim is to identify relevant knowledge and reconcile conflicting insights well enough to guide a decision. Agreement among sources is useful, but disagreement may expose a difference in timing, context, or what was measured.

Banasiewicz describes a three-tier classification of information as a foundation for the 3E framework. The excerpt does not supply those tiers or the detailed reconciliation rules. It establishes the rationale for combining sources, rather than a complete procedure for doing so.

When to use it

  • Strategic planning where both market data and senior leadership experience are used to set organizational direction.

  • Operational improvements where frontline employee insights are combined with production metrics to identify inefficiencies.

  • Change management decisions that require integrating external research findings with internal lessons learned.

  • Resource allocation across projects by weighing quantitative performance indicators against expert judgment.

FROM THEORY TO EVERYDAY LIFE

In practice

01

Product Launch Decision

A product manager uses the 3E framework to decide whether to launch a new product. Empirical evidence includes sales data from similar past products, market research reports, and academic studies on consumer behavior. Experiential evidence comes from interviews with sales representatives and feedback from focus groups. The manager systematically reconciles any conflicts (e.g., data showing low demand but experienced salespeople reporting high interest) to reach a final decision.

02

Employee Retention Strategy

An HR director uses the 3E framework to compare turnover records and exit surveys with research on retention and conversations with employees. If the sources disagree about why people leave, the director investigates the difference before selecting and assessing an intervention.

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A MOMENT TO REFLECT

Put it to work.

  1. How can you combine empirical data and experiential knowledge in your next major decision?

  2. What are the potential conflicts between academic research and practical experience in your organization, and how might the 3E framework help reconcile them?

  3. In what ways does the 3E framework differ from traditional evidence-based practice, and why is this distinction important for management?

Connected ideas

Another lens can bring the same problem into focus.

Often confused with

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Source texts

  • Evidence-Based Decision-Making How to Leverage Available Data and Avoid Cognitive Biases (Andrew D. Banasiewicz)
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