diff --git a/docs/make.jl b/docs/make.jl
index 87abf9b..ffa2866 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -4,7 +4,8 @@ import OrderedCollections: OrderedDict
 
 pages = OrderedDict(
     "Welcome Page" => "index.md",
-    "Tutorials" => "tutorials/intro_page.md",
+    "Tutorials" =>
+        Any["How do I add outage data?" => "tutorials/how_do_i_add_outage_data.md"],
     "Public API Reference" => "api/public.md",
     "Internal API Reference" => "api/internal.md",
 )
diff --git a/docs/src/tutorials/how_do_i_add_outage_data.md b/docs/src/tutorials/how_do_i_add_outage_data.md
new file mode 100644
index 0000000..c8dba39
--- /dev/null
+++ b/docs/src/tutorials/how_do_i_add_outage_data.md
@@ -0,0 +1,77 @@
+# How do I add outage data to Sienna?
+
+You can attach outage data to `PowerSystems` `Components` by using the
+supplemental attribute [`GeometricDistributionForcedOutage`](https://nrel-sienna.github.io/PowerSystems.jl/stable/api/public/#PowerSystems.GeometricDistributionForcedOutage).
+
+## Step 1 : Parse your outage data into Sienna
+
+`SiennaPRASInterface.jl` uses outage information in the form of independent `mean_time_to_recovery`
+in units of hours and `outage_transition_probability` in probability of outage per hour.
+A simple Markov model models the transitions between out and active using these parameters.
+
+We support data either being fixed and specified in the `GeometricDistributionForcedOutage` object
+or attached as time-series to the `GeometricDistributionForcedOutage` struct.
+
+### Creating a `GeometricDistributionForcedOutage` from fixed data
+
+```julia
+using PowerSystems
+transition_data = GeometricDistributionForcedOutage(;
+    mean_time_to_recovery=10,  # Units of hours
+    outage_transition_probability=0.005,  # Probability for outage per hour
+)
+```
+
+### Creating a `GeometricDistributionForcedOutage` from time series data
+
+Time series should be attached to a `GeometricDistributionForcedOutage` object
+under the keys `recovery_probability` (1/`mean_time_to_recovery`) and `outage_probability`.
+
+See the [Sienna time-series documentation on working with time-series](https://nrel-sienna.github.io/PowerSystems.jl/stable/tutorials/working_with_time_series/).
+
+```julia
+using PowerSystems
+using Dates
+using TimeSeries
+
+transition_data = GeometricDistributionForcedOutage(;
+    mean_time_to_recovery=10,  # Units of hours
+    outage_transition_probability=0.005,  # Probability for outage per hour
+)
+
+outage_probability = [0.1, 0.1, 0.2, 0.3, 0.2, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.4]
+recovery_probability = [0.1, 0.1, 0.2, 0.3, 0.2, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.4]
+
+# Your resolution and length must match the other SingleTimeSeries in your System.
+resolution = Dates.Minute(5)
+timestamps = range(DateTime("2020-01-01T08:00:00"); step=resolution, length=24)
+outage_timearray = TimeArray(timestamps, outage_probability)
+outage_time_series = SingleTimeSeries(; name="outage_probability", data=outage_timearray)
+
+recovery_timearray = TimeArray(timestamps, recovery_probability)
+recovery_time_series =
+    SingleTimeSeries(; name="recovery_probability", data=recovery_timearray)
+
+# Here we assume you have a system named sys
+PSY.add_time_series!(sys, transition_data, outage_time_series)
+PSY.add_time_series!(sys, transition_data, recovery_time_series)
+```
+
+## Step 2 : Attaching Data to Components
+
+Once you have a `GeometricDistributionForcedOutage` object, then you can add it to
+any components with that data:
+
+```julia
+component = get_component(Generator, sys, "test_generator")
+add_supplemental_attribute!(sys, component, transition_data)
+```
+
+## Step 3 : Run simulations and verify result
+
+```julia
+using SiennaPRASInterface
+method = SequentialMonteCarlo(samples=10_000, seed=1)
+shortfalls, = assess(sys, PowerSystems.Area, sequential_monte_carlo, Shortfall())
+eue = EUE(shortfalls)
+```