The business client
and their business problem (10%)
Problem
structure and components logic tree (20%)
Solution
drivers and hypothesised solutions logic tree (30%)
Prioritisation
of hypothesised solutions (20%)
Workplan (15%)
One-day answer
(5%)
Distinction
(70% plus)
A highly
specific, measurable and actionable problem presented as an objective, which
is fully evidenced. Succinct description of a complicated problem background.
Highly logical
disaggregation of problem into components or issues, which provides excellent
insight to the problem that was not available prior to disaggregation.
Disaggregation
that is connected to and fully informed by both industry and academic
literature.
Highly
logically building upon the basic problem structure logic tree, a fully-evidenced
and referenced more complete logic tree that substantially advances thinking
on the problem towards drivers of the problem solution, identifying highly
clear and practical pathways to solve the problem.
Exceptional
analysis of hypothesis solutions to objectively determine which will have the
biggest impact on the problem and which can be actively managed. Highly
logical pruning of ‘leaves’ of your final logic tree to establish a critical
part to solving the problem.
Highly clear
links between hypothesised solutions, research questions, fact gathering and
critical analysis. Highly clear procedure by which you will rigorously access
data. Highly clear procedure by which you will rigorously analyse data.
Highly appropriate selection of analysis tools to answer research questions.
A highly
detailed and feasible timetable.
A highly
insightful one-day answer that convey what understandings are
emerging, what unknowns still stand between you and the problem resolution
and your best guess at a resolution.
Merit
(60%-69%)
A specific,
measurable and actionable problem presented as an objective, which is fully
evidenced. Succinct description of a complicated problem background.
Logical
disaggregation of problem into components or issues, which provides good
insight to the problem that was not available prior to disaggregation.
Disaggregation
that is partly connected to and informed by both industry and academic
literature.
Logically
building upon the basic problem structure logic tree, a fully-evidenced and
referenced more complete logic tree that substantially advances thinking on
the problem towards drivers of the problem solution, identifying clear and
practical pathways to solve the problem.
Very good
analysis of hypothesised solutions to objectively determine which will have
the biggest impact on the problem and which can be actively managed. Logical
pruning of ‘leaves’ of your final logic tree to establish a critical part to
solving the problem.
Clear links
between hypothesised solutions, research questions, fact gathering and
critical analysis. Clear procedure by which you will rigorously access data.
Clear procedure by which you will rigorously analyse data. Appropriate
selection of analysis tools to answer research questions. A detailed and
feasible timetable.
An insightful
one-day answer that convey what understandings are emerging, what unknowns
still stand between you and the problem resolution and your best guess at a
resolution.
Pass (50%-59%)
A somewhat
unclear problem presented as an objective, but not fully evidenced.
Description of a complicated problem background.
Disaggregation
of problem into components or issues, which provide some insight to the
problem that was not available prior to disaggregation.
Disaggregation
that attempts to both industry and academic literature.
Logically
building upon the basic problem structure logic tree, a fully-evidenced and
referenced more complete logic tree that somewhat advances thinking on the
problem towards drivers of the problem solution, identifying pathways to
solve the problem.
Analysis of
hypothesised solutions to determine which will have the biggest impact on the
problem and which can be actively managed, but with some errors. Pruning of
‘leaves’ of your final logic tree to establish a critical part to solving the
problem, but with some errors.
Somewhat
unclear links between hypothesised solutions, research questions, fact
gathering and critical analysis. Somewhat unclear procedure by which you will
rigorously access data. Somewhat unclear procedure by which you will
rigorously analyse data. Not selecting the most appropriate analysis tools to
answer research questions. A feasible timetable.
A one-day
answer that convey what understandings are emerging, what unknowns
still stand between you and the problem resolution and your best guess at a
resolution.
Fail (49% and
below)
A unclear
problem presented as an objective, not evidenced. Description of a problem
background.
Disaggregation
of problem into components or issues, but which provides no additional
insight to the problem beyond what was available prior to disaggregation.
Use of
irrelevant industry and academic literature
that do not
drive problem solving.
Attempt to
build upon the basic problem structure logic tree, an evidenced and
referenced more complete logic tree but which does not meaningfully advance
thinking on the problem towards drivers of the problem solution, establishing
only unclear pathways to solve the problem.
Flawed
analysis of hypothesised solutions which fails to determine which will have
the biggest impact on the problem and which can be actively managed. Flawed
pruning of ‘leaves’ of your final logic tree, failing to establish a critical
path to solving the problem.
Unclear links
between hypothesised solutions, research questions, fact gathering and
critical analysis. Unclear procedure by which you will rigorously access
data. Somewhat unclear procedure by which you will rigorously analyse data.
Flawed selection of analysis tools that do not robustly answer research
questions. An unrealistic timetable.
A highly
insightful one-day answer that is limited in conveying what
understandings are emerging, what unknowns still stand between you and the
problem resolution and your best guess at a resolution.