  Several tools have been developed in the past few years for the statistical
analysis of the exoplanet search surveys, mostly using a combination of
Monte-Carlo simulations or a Bayesian approach.Here we present the Quick-MESS,
a grid-based, non-Monte Carlo tool aimed to perform statistical analyses on
results from and help with the planning of direct imaging surveys. Quick-MESS
uses the (expected) contrast curves for direct imaging surveys to assess for
each target the probability that a planet of a given mass and semi-major axis
can be detected. By using a grid-based approach Quick-MESS is typically more
than an order of magnitude faster than tools based on Monte-Carlo sampling of
the planet distribution. In addition, Quick-MESS is extremely flexible,
enabling the study of a large range of parameter space for the mass and
semi-major axes distributions without the need of re-simulating the planet
distribution. In order to show examples of the capabilities of the Quick-MESS,
we present the analysis of the Gemini Deep Planet Survey and the predictions
for upcoming surveys with extreme-AO instruments.
