How Triente sees decisions
A way of seeing, before a way of working.
Every hard decision is an objective to maximize or minimize, a system that constrains it, and levers that move it. Clients engage one discipline or the full loop. The stakes of the decision set the depth.
- Frame the problem
- Understand the levers
- Commit when the evidence converges
- Design new policies
- Scale the policy
- Hone the thinking
We commit to a recommendation only when the model, the data, and the market independently agree.
Three disciplines examine the same problem from different directions. When they converge, the recommendation has earned conviction. When they disagree, that disagreement is the finding.
THE OBJECTIVE
Frame the problem
“We are losing share to new entrants.”
Every decision starts with two futures. One the client wants. One they fear. We frame the objective inside that gap. Name what to maximize or minimize. Make the constraints explicit. Identify the levers that move the system toward the future they want. A well-framed problem is half the work, and most arrive poorly framed.
THREE LINES OF EVIDENCE
Understand the levers
Three independent disciplines examine the same problem. A system dynamics model explains the structure. Analytics and machine learning measure the response. Primary research hears the market directly.
SYSTEM DYNAMICS
Model the system
Map the structure that produces the behavior you see. Find where constraints bind and where leverage lives.
“Why do entrants keep winning?”
ADVANCED ANALYTICS + ML
Quantify the response
Measure how each lever moves the objective. Rank the levers by impact.
“A marketing mix model maps response.”
PRIMARY RESEARCH
Hear the market
Quantify what customers want and will pay for, with methods such as conjoint analysis.
“Conjoint reveals the trade-offs.”
STRESS TEST
Design new policies
“Raise spend. Target the white space entrants missed.”
Shape the moves that reach the objective. Prove them in simulation before they cost real money. Run in-market experiments where the stakes justify them.
30 / 60 / 90
Scale the policy
“The new mix is in market inside 90 days.”
Put what works into operation. A concrete execution plan with recommended motions at 30, 60, and 90 days, and a roadmap beyond.
RESULTS FEEDBACK
Hone the thinking
“Did share recover as the model predicted?”
Actual results flow back into the models. Each cycle sharpens the next call. The work compounds.
Results loop back to the models. The picture is a cycle, and each pass through it raises the quality of the next decision.
Ways to engage
The stakes set the depth.
One discipline
Some decisions need one answer. A conjoint study. A marketing mix model. A simulation of a single policy. We scope to the question and deliver the evidence.
The full loop
Some decisions deserve the whole system. We frame the objective, build three independent lines of evidence, design and prove the policy, and stay through scale.
Bring us the decision.
Tell us what you are trying to maximize or minimize. We will tell you how deep the question goes.