diff --git a/docs/making-sense-of-the-result.md b/docs/making-sense-of-the-result.md
index 1fe6d66..4056ec5 100644
--- a/docs/making-sense-of-the-result.md
+++ b/docs/making-sense-of-the-result.md
@@ -21,7 +21,7 @@ A QAOA workflow is composed by 4 parts. this example, we have used the default v
 
 Result is a class attribute of the object `q`, and its chief role is that of keeping a record of the steps behind the workflow.
 
-In particular, there are three pain attributes of the result object:
+In particular, there are three main attributes of the result object:
 
 ### The optimized result
 
diff --git a/docs/what-is-the-qaoa.md b/docs/what-is-the-qaoa.md
index 6c0a30b..1fdae8c 100644
--- a/docs/what-is-the-qaoa.md
+++ b/docs/what-is-the-qaoa.md
@@ -87,7 +87,7 @@ This means that we now know how to construct the QAOA circuit for any QUBO probl
 The classical loop procedure in quantum computing involves the following steps:
 
 1. Encoding the optimization problem into a parametric quantum circuit
-2. InitializingInitializing the circuit parameters
+2. Initializing the circuit parameters
 3. Evaluating the cost function, which represents the energy of the system described by the quantum circuit, by measuring the expectation value of the cost Hamiltonian $\langle \psi|\mathcal{H}_C|\psi\rangle$.
 4. Updating the circuit parameters using a classical optimization algorithm, such as gradient descent or COBYLA, to minimize the cost function and find the optimal solution to the optimization problem.