MMasters in Business
← All frameworks
CommunicationTorsten Slok

Customer-Useful Research Compression

Turn complex analysis into brief, surprising, decision-relevant insight

Difficulty
Moderate
Time to result
~weeks to results
Steps
5
Confidence
94%

This framework begins with the customer's decision rather than the analyst's preferred model. Determine what the audience must decide, then search beyond familiar headline indicators for evidence that changes or enriches the decision. Package that evidence in a chart or similarly concise form, explain why it matters in a few sentences, and connect it to the relevant choice. The mechanism is attention plus translation: unusual but relevant evidence earns attention, while brevity makes complex analysis usable under time pressure. The objective is not sensationalism or extreme predictions. It is to add value to the customer's thought process by revealing a relationship they may have missed and carrying the analysis far enough that they can act on it.

Origin

Extracted from Masters in Business, where Torsten Slok described adapting research from the slower institutional environment of the IMF and OECD to the urgent, competitive demands of Wall Street clients.

Core principles

  • 01Understand the decision your customer must make
  • 02Add information rather than repeat known headlines
  • 03Use surprising evidence to earn attention
  • 04Translate complexity without removing its significance
  • 05End with a clear implication

How to run it

  1. 1

    Define the customer decision

    Identify who will consume the research and the concrete choice they face. Frame the work around what would help them decide.

    Pro tip Write the decision as a binary or directional question before doing the analysis.

    Watch out Do not assume that an economically interesting question is automatically useful to the customer.

  2. 2

    Move beyond headline data

    Review familiar indicators, then search for overlooked variables, relationships, or contextual evidence that could change the interpretation.

    Pro tip Favor evidence that makes a knowledgeable reader pause and reconsider an assumption.

    Watch out Unusual evidence must still be relevant; novelty alone adds no value.

  3. 3

    Create a compact visual

    Express the key relationship in a chart or another form that can be understood quickly. Make the visual carry most of the factual burden.

    Pro tip Use one dominant message per chart.

    Watch out Do not overload the visual with every variable explored during research.

  4. 4

    Explain the significance briefly

    State what changed, why it matters, and how it affects the customer's thought process in a few sentences.

    Pro tip Lead with the conclusion, then provide only the evidence needed to support it.

    Watch out Avoid long explanations that postpone the practical meaning.

  5. 5

    Connect insight to action

    Translate the finding into the decision language of the audience, such as buy, sell, wait, investigate, or revise exposure.

    Pro tip Make the implication explicit even when the final decision remains with the customer.

    Watch out Do not confuse decisiveness with unjustified certainty.

In the wild

An overlooked services-inflation chart

An analyst hears repeated claims that technology and globalization will eliminate inflation. Instead of resending headline CPI, the analyst charts goods versus services inflation and highlights the much larger weight of housing, healthcare, and education. A short note explains why falling goods prices may not dominate the overall index and identifies the implication for rate expectations.

→ Clients receive a differentiated inflation view that directly informs portfolio positioning.

Common mistakes

Repeating familiar headlines

Sending widely known figures gives the audience no reason to open or remember the research.

Using novelty without relevance

A surprising chart is ineffective if it does not alter the customer's reasoning or decision.

Stopping before the implication

Explaining the economy without connecting it to the customer's choice forces the customer to finish the analyst's work.

Is it for you?

Best for

Analysts, advisers, and researchers serving time-constrained decision-makers.

Not ideal for

Formal academic work that requires exhaustive methods, qualifications, and literature review.

From the transcript

“That was a lot driven by understanding who your customer is.”

Torsten Slok · 08:43

“it's supposed to be crazy. It's supposed to be a little bit wild and unusual”

Torsten Slok · 07:17

“the whole challenge for me really is to tell you something that's easier to understand where you still will say wow.”

Torsten Slok · 10:04

From the episode

Torsten Slok Discusses the Complexity of Global Economics

Torsten Slok

→