diff --git a/app/(base)/profile/[id]/page.tsx b/app/(base)/profile/[id]/page.tsx
index d29fc2b..26a5ed1 100644
--- a/app/(base)/profile/[id]/page.tsx
+++ b/app/(base)/profile/[id]/page.tsx
@@ -6,10 +6,14 @@ import CoWorkersCarousel from "@/components/CoWorkersCarousel";
 import ProjectsCarousel from "@/components/ProjectsCarousel";
 import ProfileTraits from "@/components/Profile/ProfileTraits";
 
+import { feedbackAnalysis } from "@/services/rag";
+
 const Profile: React.FC<{ params: { id: string } }> = async ({ params }) => {
   const user = await getUserInfoById(params.id);
   const traits = await getUserSkillsById(params.id);
 
+  feedbackAnalysis(53);
+
   return (
     <main>
       <ProfileBanner user={user} />
diff --git a/db/schema.ts b/db/schema.ts
index 001e0a4..d1b3f64 100644
--- a/db/schema.ts
+++ b/db/schema.ts
@@ -86,7 +86,11 @@ export const taskStatusEnum = pgEnum("status", [
 
 export const pipTask = pgTable("pip_task", {
   id: serial("id").primaryKey(),
+  rulerSurveyId: integer("ruler_survey_id").references(
+    () => rulerSurveyAnswers.id,
+  ),
   sprintSurveyId: integer("sprint_survey_id").references(() => sprintSurvey.id),
+  finalSurveyId: integer("final_survey_id").references(() => finalSurvey.id),
   userId: uuid("user_id").references(() => user.id, { onDelete: "cascade" }),
   title: varchar("title", { length: 64 }),
   description: varchar("description", { length: 256 }),
@@ -118,9 +122,13 @@ export const userResource = pgTable(
     resourceId: serial("resource_id").references(() => pipResource.id, {
       onDelete: "cascade",
     }),
+    rulerSurveyId: integer("ruler_survey_id").references(
+      () => rulerSurveyAnswers.id,
+    ),
     sprintSurveyId: integer("sprint_survey_id").references(
       () => sprintSurvey.id,
     ),
+    finalSurveyId: integer("final_survey_id").references(() => finalSurvey.id),
   },
   // composite primary key on (userId, resourceId)
 );
@@ -138,10 +146,12 @@ export const rulerEmotion = pgTable("ruler_emotion", {
 export const rulerSurveyAnswers = pgTable(
   "ruler_survey_answers",
   {
+    id: serial("id").primaryKey(),
     userId: uuid("user_id").references(() => user.id, { onDelete: "cascade" }),
     emotionId: integer("emotion_id").references(() => rulerEmotion.id),
     answeredAt: date("answered_at", { mode: "date" }),
     comment: text("comment"),
+    processed: boolean("processed").default(false),
   },
   // composite primary key on (userId, rulerSurveyId)
 );
@@ -149,7 +159,7 @@ export const rulerSurveyAnswers = pgTable(
 export const questionTypeEnum = pgEnum("type_question", [
   "SPRINT_QUESTION",
   "COWORKER_QUESTION",
-  // "COWORKER_COMMENT",
+  "COWORKER_COMMENT",
   "FINAL_PROJECT_QUESTION",
   "FINAL_PROJECT_COMMENT",
 ]);
diff --git a/services/rag.ts b/services/rag.ts
index 326c3fa..4e0c0b4 100644
--- a/services/rag.ts
+++ b/services/rag.ts
@@ -189,6 +189,10 @@ async function processCoworkersOpenFeedback(
     joinedFeedbackComments = joinedFeedbackComments.replaceAll("sesgado:", "");
     joinedFeedbackComments = joinedFeedbackComments.replaceAll("  ", " ");
 
+    console.log("===========================================");
+    console.log("COMMENTS PROCESSING");
+    console.log("===========================================");
+
     const openai = new OpenAI({
       apiKey: process.env.OPENAI_KEY,
     });
@@ -251,6 +255,10 @@ async function processCoworkersOpenFeedback(
       }
     }
 
+    console.log("Positive comments: ", commentClassifications.positive);
+    console.log("Negative comments: ", commentClassifications.negative);
+    console.log("Biased comments: ", commentClassifications.biased);
+
     // ==================== RAG AND WEAKNESSES ANALYSIS ====================
 
     // add the recommended resources of the user
@@ -637,6 +645,9 @@ async function getFeedbackClassifications(
         }
       } else {
         // add the negative skills of the question
+        console.log("Feedback: ", feedback[0]);
+        console.log("question Skills: ", questionsSkills[feedback[0]]);
+        console.log("questions: ", questionsSkills);
         const questionNegativeSkills = questionsSkills[feedback[0]].map(
           (skillId) => skillId as number,
         );
@@ -669,10 +680,14 @@ async function getQuestionsSkills(
   type: string,
 ): Promise<QuestionSkills> {
   const questionsSkills: QuestionSkills = {};
-  const questions: any[] = [];
+  type Question = {
+    questionId: number | null;
+  };
+
+  let questions: Question[] = [];
 
   if (type === "COWORKER_QUESTION") {
-    const questions = await db
+    questions = await db
       .select({
         questionId: sprintSurveyQuestion.questionId,
       })
@@ -685,7 +700,7 @@ async function getQuestionsSkills(
         ),
       );
   } else if (type === "FINAL_PROJECT_QUESTION") {
-    const questions = await db
+    questions = await db
       .select({
         questionId: sprintSurveyQuestion.questionId,
       })
@@ -951,6 +966,10 @@ export async function feedbackAnalysis(sprintSurveyId: number) {
 
   // analyze survey only if it has not been processed
   if (notProcessedSurvey) {
+    console.log("=========================================");
+    console.log("START OF SPRINT ANALYSIS");
+    console.log("=========================================");
+
     const uniqueProjectUsers = await db
       .selectDistinct({
         userId: projectMember.userId,
@@ -972,8 +991,11 @@ export async function feedbackAnalysis(sprintSurveyId: number) {
       "COWORKER_QUESTION",
     );
 
+    console.log("=====================, questionSkills: ", questionsSkills);
+
     // iterate through each unique user of the project and read the feedback received
     for (const userId of Object.keys(orderedFeedback)) {
+      console.log(userId);
       const userTasksCount = await db
         .select({ count: count() })
         .from(pipTask)
@@ -1016,6 +1038,9 @@ export async function feedbackAnalysis(sprintSurveyId: number) {
       .set({ processed: true })
       .where(eq(sprintSurvey.id, sprintSurveyId));
   }
+  console.log("=========================================");
+  console.log("END OF SPRINT ANALYSIS");
+  console.log("=========================================");
 }
 
 export async function projectAnalysis(finalSurveyId: number) {