Business hypothesis
Definition of the expected change in savings, revenue, efficiency or experience, as appropriate.
Value Case Design and Validation
Before scaling an idea, let’s verify its value.
We turn an opportunity into a testable hypothesis. We define what to observe, with which users, and what evidence your company needs to decide.
For businesses in Colombia, Venezuela and global markets
The starting point
An interesting idea is not yet a justified investment.
A project may look attractive without addressing a priority need. We help formulate the expected benefit, identify critical assumptions and design proportionate validation before committing more resources.
Do any of these situations sound familiar?
- 01You have an initiative but no measurable benefit hypothesis.
- 02You need to compare alternatives before investing.
- 03You want to validate an MVP with real users and data.
What we can address
Scope connected to your needs.
An investment decision better supported by data, learning and explicit criteria.
Validation design
Selection of users, data, metrics and conditions for testing assumptions.
MVP and learning
Early validation of a solution and analysis of the evidence gathered.
Extended service capabilities
- Business needs and value hypothesis definition
- Business case, costs and expected benefits
- Pilot and proof-of-concept design
- Impact metrics and success criteria
- Validation with users and business processes
- Recommendations to proceed, adjust or stop
What you can move forward with
Deliverables that guide the next step.
We define scope and deliverables before starting, according to your company’s context and priorities.
The following components are a reference for this service. The specific proposal defines activities, owners, investment and terms.
- 01
Value case brief
Problem, beneficiaries, hypothesis and relevant assumptions.
- 02
Validation plan
Baseline, metrics and criteria for interpreting results.
- 03
Agreed test or MVP
A limited scope to test the hypothesis without building the entire project.
- 04
Decision recommendation
Evidence to proceed with, adjust or stop the initiative.
An application scenario
Checking whether automating a task delivers a meaningful improvement.
Before automating an entire process, one stage can be tested with a group of users. We compare performance against a baseline and analyze the conditions needed to extend the solution.
What would be useful to observe
The metric tied to the hypothesis: time, errors, adoption, revenue or experience, as appropriate.
How we work
Business first. Then technology.
Formulate
We clarify the problem and hypothesis.
Design
We define the test and its metrics.
Compare
We collect evidence of use and outcomes.
Recommend
We document learning and the next decision.
Before getting started
Questions worth addressing.
Is it the same as Discovery?
No. Discovery helps understand and prioritize an opportunity. A value case focuses on testing a specific hypothesis against evidence.
Is software always built?
Not necessarily. The validation method depends on the assumption being tested. Where appropriate, a functional MVP is defined.
What happens if the hypothesis is not confirmed?
That is a useful result. We document what was learned and whether to adjust, explore another alternative or stop the investment.
Let’s take the first step
Let’s turn your next initiative into a verifiable hypothesis.
An initial conversation to understand your context and assess how we can help.