Consulting presentation framework

What is a consulting presentation framework for?

This framework is a practical way to organize your work so you can clarify what decision the presentation needs to accomplish and make the connection between findings and recommendations visible. It is not a claim that there is one correct presentation sequence or a fixed analysis tree that fits every situation. Adapt it to the topic, decision-maker, and available evidence.

Opening with the conclusion and then presenting the points that support it is one of the presentation recommendations published by Rutgers University–Newark. The same source also recommends restating the conclusion and key takeaways at the end. (Rutgers University–Newark)

1. Define the decision question

First, write down the question the presentation is expected to answer. “Sales” is a topic; “Which intervention should we prioritize to stop the sales decline over the next two quarters?” is a decision question you can work on.

As you clarify the question, identify who will make the decision, what period and scope are being considered, and how success will be measured. If any of these are unknown, record them as points to verify rather than filling the gaps with assumptions. Try to keep the scope of the question within the limits of what your available data can actually answer.

2. Break the question into researchable topics

Divide the main question into subquestions you can investigate. For example, in a sales decline, demand, purchase conversion, and average order value could be areas to explore. This is not a complete or mandatory list for every business: Adapt it to the business model and check for potential overlap and important topics you may have missed.

Next to each subtopic, write the question to be answered and the evidence needed. For example, “Why did conversion decline?” may require conversion measurements across periods and information about the customer journey. If relevant data is unavailable, do not present the gap as a finding; state the data gap and why it matters to the decision. This way of organizing topics can help structure your analysis; on its own, it does not show that every possibility has been covered.

3. Match every claim to its evidence

For each important claim, consider what you are saying, what evidence supports it, and what the evidence cannot establish. For example, if you say, “The decline is concentrated in a particular channel,” specify the periods, how the channel is defined, and the measure you used. Make the source and date range traceable in the presentation or notes.

It is also useful to separate observations from interpretations. “The conversion rate declined” may be an observation from the data; “The campaign message was ineffective” is an explanation that requires its own supporting evidence. Consider multiple possible explanations where relevant. Do not assume that two measures changing together proves a cause-and-effect relationship on its own; state clearly which conclusions are supported and which have not yet been verified.

4. Complete the recommendation with options and next steps

State the recommendation briefly, then explain which findings support it, what alternatives were considered, and what key assumptions it involves. Specifying the next step, owner, timing, and measure to track helps the presentation support decision-making. These are practical planning elements you can use in this framework, not a guarantee of a particular outcome.

You could structure the presentation in this order: recommendation and decision; problem definition; key findings; comparison of options; rationale for the choice; implementation and monitoring steps. This is an example sequence that can be changed. Write slide titles as sentences that convey the slide’s message rather than using general topic labels such as “Analysis.” The Rutgers source recommends using meaningful titles and limiting each slide to one or two key insights. It also recommends visuals and bullet points instead of text-heavy slides, and a separate narrative that complements the slide text rather than reading it verbatim. (Presentation principles from the source)

5. Hypothetical example: decline in online sales

The scenario and figures below are entirely hypothetical; they do not represent a real company or measurement. Decision question: “Which intervention should we try first to recover the online sales decline over the last two months?” The presenter has not yet confirmed that the measurements across periods are comparable. So the first check is to review the measurement definitions and data coverage.

• Recommendation: First, examine drop-offs in the purchase flow and identify the step where the loss is concentrated.
• Problem: The hypothetical sales index has fallen from 100 to 88; its definition and coverage have not yet been verified.
• Findings: In the hypothetical analysis, visitor numbers remained similar, while the rate of completed purchases after items were added to the cart declined.
• Options: Increase traffic, change prices, or investigate potential problems in the payment flow. The available hypothetical findings point to investigating the third option first; they do not prove or rule out the effects of the others.
• Next step: Verify that the measurements are comparable, identify the step where drop-offs are concentrated, and assess a possible change through a limited trial.

This example does not conclude that “the payment step caused the sales decline.” The presentation distinguishes the observation, a possible explanation, and the step that needs to be verified.

6. Final checklist

Before finishing the presentation, check the following:

• Do the decision question and recommendation have the same scope?
• Are the supporting evidence for the main claims and the relevant data limitations visible?
• Are assumptions and explanations that have not yet been verified clearly marked?
• Do the options explain why the recommendation was preferred?
• Are the next step and points to verify clear?
• Do the slide titles state the main message, and are the slides free of unnecessary text?

At the close, restate the recommendation and a few key takeaways; clarify the steps to take after the decision. This closing approach is also consistent with the presentation recommendations in the Rutgers source.

7. Brief FAQ

Should this framework be the same for every presentation?

No. Adapt the subtopics and sequence as the decision question, scope, and available evidence change. What matters is making it possible to trace which findings support the recommendation.

Should you postpone the presentation if data is missing?

Not always. State which conclusions are limited by the missing data and what needs to be verified before making a decision. If the evidence does not support a firm recommendation, do not present the question to verify or the provisional option as a definitive conclusion.

Related practical guides

You can explore the relevant step in this work in more detail with the guide to evidence-based storytelling in consulting presentations. You can also explore the relevant step in this work in more detail with the guide to preparing a case study presentation for a job interview.