diff --git a/channel_messages_stats.csv b/channel_messages_stats.csv
new file mode 100644
index 00000000..7a23c127
--- /dev/null
+++ b/channel_messages_stats.csv
@@ -0,0 +1,101 @@
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diff --git a/scripts_python/generate_channel_messages_reactions.py b/scripts_python/generate_channel_messages_reactions.py
new file mode 100644
index 00000000..03e52fc3
--- /dev/null
+++ b/scripts_python/generate_channel_messages_reactions.py
@@ -0,0 +1,238 @@
+#!/usr/bin/env python3
+"""
+Generate mock reactions data for channel_messages CSV files.
+
+This script takes an input CSV containing channel_messages data (without reactions)
+and outputs a new CSV with a generated 'reactions' column containing realistic mock data.
+"""
+
+import argparse
+import json
+import random
+from pathlib import Path
+
+import pandas as pd
+
+
+REACTION_NAMES = [
+    'approved',
+    'merged',
+    'raised_hands',
+    'pray',
+    'laugh',
+    'ty',
+    'this',
+    'point_up',
+    'white_check_mark'
+]
+
+MOCK_SLACK_USER_IDS = [
+    'U1FM88J9J',
+    'UNC2V4ZD7',
+    'U7W96XW2A',
+    'US3QTX4Z1',
+    'UQY0NPYWN',
+    'UR257U86O',
+    'UG6UG9470',
+    'U0KG42Q0P',
+    'UEA8H90WN',
+    'UNNH8IW78',
+    'U3GY5K9EQ',
+    'UL9VWQ9S2',
+    'UORS33I12',
+    'U8S28EIM6',
+    'UWL5JX23M',
+    'UV77JEL7Q',
+    'U2M260029',
+    'UFF1HYHJ2',
+    'UDC0ZA535',
+    'UB81I8027',
+    'U3HY0BS3W',
+    'UL92954KA',
+    'UZ5125Y28',
+    'U168N7Y9G',
+    'UE83A3954',
+    'UP9T7VJBF',
+    'UK839UQ5R',
+    'UCL2RJ89X',
+    'UFUV7GPHM',
+    'UNVWFC5Q1',
+    'UY640917T',
+    'UQSF747QR',
+    'U34AX16M0',
+    'UWBXBIUB7',
+    'U2QXC4ZNG',
+    'UN979RN92',
+    'UH749DC04',
+    'UL2989703',
+    'U4095YWYD',
+    'U24SJD0U3',
+    'U7ZP08017',
+    'U0GBC0N90',
+    'UU6K92DUR',
+    'UNY6WDI60',
+    'UJ65P6F44',
+    'U3TE14ET2',
+    'U96N45CL2',
+    'UK4V3ON2O',
+    'UKA77QAYY',
+    'U81OT695K',
+    'UPT27H737',
+    'UOBK5OFZ0',
+    'U0EIW7DOX',
+    'UZ271WU40',
+    'UYVM94HE1',
+    'UEZMYV74R',
+    'UYEP6YY91',
+    'U9E255NN9',
+    'ULRS0HVJ3',
+    'U378U76S4',
+    'UK756E555',
+    'U6P582A60',
+    'UL96240J4',
+    'UU95TZPYP',
+    'U306GEBY8',
+    'U549234TU',
+    'UIX8TSI0Y',
+    'UE0WA7608',
+    'U9YFOYM78',
+    'UZ90K3JDW',
+    'U5V38TNV1',
+    'U0381889F',
+    'UF39WLXAT',
+    'UHGL04640',
+    'UA7M10C0O',
+    'UB51ZBPGJ',
+    'UNS22LGIY',
+    'UN0J0I7F0',
+    'UH1039P7I',
+    'UO513ARUP',
+    'U3O3NUM10',
+    'UKVN1ZI1Z',
+    'ULAN263E4',
+    'U7PX1XVTE',
+    'UIDQ8QXI5',
+    'UV4M04Y17',
+    'U0D6182AR',
+    'UC3Z15JC3',
+    'U84A3Q05B',
+    'UWW10VL06',
+    'USI1BH3K3',
+    'U2XQ3JJAN',
+    'UYJ494VWS',
+    'ULWL32B29',
+    'U91Q0A72O',
+    'U85PB3J63',
+    'UA3IV9419',
+    'UB9LLF16J',
+    'U3U77Y17K',
+    'U08ITMEA6',
+]
+
+
+def generate_reactions() -> list[dict]:
+    """
+    Generate a random list of reactions for a message.
+    
+    Returns a list of reaction dicts, each containing:
+    - name: reaction name from REACTION_NAMES
+    - users: list of user IDs who reacted
+    - count: number of users (equals len(users))
+    """
+    # Randomly decide how many reaction types (0 to all available)
+    # Weight towards fewer reactions (more realistic)
+    num_reaction_types = random.choices(
+        range(len(REACTION_NAMES) + 1),
+        weights=[40, 25, 15, 10, 5, 3, 1, 0.5, 0.3, 0.2],  # Weighted towards 0-2 reactions
+        k=1
+    )[0]
+    
+    if num_reaction_types == 0:
+        return []
+    
+    # Select which reaction types to include
+    selected_reactions = random.sample(REACTION_NAMES, num_reaction_types)
+    
+    reactions = []
+    for reaction_name in selected_reactions:
+        # Randomly decide how many users reacted (1 to ~10 typically)
+        # Weight towards fewer users per reaction
+        num_users = random.choices(
+            range(1, 11),
+            weights=[40, 25, 15, 10, 5, 3, 1, 0.5, 0.3, 0.2],
+            k=1
+        )[0]
+        
+        # Select random users
+        users = random.sample(MOCK_SLACK_USER_IDS, num_users)
+        
+        reactions.append({
+            'name': reaction_name,
+            'users': users,
+            'count': len(users)
+        })
+    
+    return reactions
+
+
+def process_csv(input_path: Path, output_path: Path) -> None:
+    """
+    Read input CSV, generate reactions for each row, and write output CSV.
+    """
+    
+    df = pd.read_csv(input_path)
+    df['reactions'] = [json.dumps(generate_reactions()) for _ in range(len(df))]
+    df.to_csv(output_path, index=False)
+    
+    print(f"Processed {len(df)} rows")
+    print(f"Output written to: {output_path}")
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Generate mock reactions data for channel_messages CSV files."
+    )
+    parser.add_argument(
+        "input_file",
+        type=Path,
+        help="Path to input CSV file containing channel_messages data"
+    )
+    parser.add_argument(
+        "-o", "--output",
+        type=Path,
+        default=None,
+        help="Path to output CSV file (default: input_file with '_with_reactions' suffix)"
+    )
+    parser.add_argument(
+        "--seed",
+        type=int,
+        default=None,
+        help="Random seed for reproducible results"
+    )
+    
+    args = parser.parse_args()
+    
+    # Validate input file exists
+    if not args.input_file.exists():
+        print(f"Error: Input file not found: {args.input_file}")
+        return 1
+    
+    # Set output path
+    if args.output is None:
+        output_path = args.input_file.with_stem(f"{args.input_file.stem}_with_reactions")
+    else:
+        output_path = args.output
+    
+    # Set random seed if provided
+    if args.seed is not None:
+        random.seed(args.seed)
+    
+    # Process the CSV
+    process_csv(args.input_file, output_path)
+    
+    return 0
+
+
+if __name__ == "__main__":
+    exit(main())
+
diff --git a/shared/projects/dbt/slack_analytics/dbt_project.yml b/shared/projects/dbt/slack_analytics/dbt_project.yml
new file mode 100644
index 00000000..63cc6839
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/dbt_project.yml
@@ -0,0 +1,34 @@
+name: 'slack_analytics'
+version: '1.0.0'
+config-version: 2
+
+profile: 'slack-analytics-duckdb'
+
+# These configurations specify where dbt should look for different types of files.
+model-paths:
+  - models
+analysis-paths:
+  - analyses
+test-paths:
+  - tests
+seed-paths:
+  - seeds
+macro-paths:
+  - macros
+snapshot-paths:
+  - snapshots
+
+clean-targets:         # Directories to be removed by `dbt clean`
+  - dbt_packages
+  - state
+  - target
+
+# Configuring models
+# Full documentation: https://docs.getdbt.com/docs/configuring-models
+
+models:
+  slack_analytics:
+    +materialized: table
+
+vars:
+  local_timezone: 'UTC'
\ No newline at end of file
diff --git a/shared/projects/dbt/slack_analytics/macros/parse_json.sql b/shared/projects/dbt/slack_analytics/macros/parse_json.sql
new file mode 100644
index 00000000..b8e1e7f8
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/macros/parse_json.sql
@@ -0,0 +1,15 @@
+{% macro parse_json(column_name) %}
+    {{ return(adapter.dispatch('parse_json', 'slack_analytics')(column_name)) }}
+{% endmacro %}
+
+{% macro default__parse_json(column_name) %}
+    {{ column_name }}::JSON
+{% endmacro %}
+
+{% macro databricks__parse_json(column_name) %}
+    FROM_JSON({{ column_name }}, 'STRING')
+{% endmacro %}
+
+{% macro snowflake__parse_json(column_name) %}
+    PARSE_JSON({{ column_name }})
+{% endmacro %}
\ No newline at end of file
diff --git a/shared/projects/dbt/slack_analytics/macros/to_date.sql b/shared/projects/dbt/slack_analytics/macros/to_date.sql
new file mode 100644
index 00000000..a8f24ff3
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/macros/to_date.sql
@@ -0,0 +1,27 @@
+{% macro to_date(timestamp, localize=True, timezone=var('local_timezone')) %}
+    {{ return(adapter.dispatch('to_date', 'slack_analytics')(timestamp, localize, timezone)) }}
+{% endmacro %}
+
+{% macro default__to_date(timestamp, localize, timezone) %}
+    {% if localize %}
+    TO_DATE(FROM_UTC_TIMESTAMP({{ timestamp }}, '{{ timezone }}'))
+    {% else %}
+    TO_DATE({{ timestamp }})
+    {% endif %}
+{% endmacro %}
+
+{% macro duckdb__to_date(timestamp, localize, timezone) %}
+    {% if localize %}
+    CAST(timezone('{{ timezone }}', {{ timestamp }}::TIMESTAMPTZ) AS DATE)
+    {% else %}
+    CAST({{ timestamp }} AS DATE)
+    {% endif %}
+{% endmacro %}
+
+{% macro snowflake__to_date(timestamp, localize, timezone) %}
+    {% if localize %}
+    TO_DATE(CONVERT_TIMEZONE('UTC', '{{ timezone }}', {{ timestamp }}))
+    {% else %}
+    TO_DATE({{ timestamp }})
+    {% endif %}
+{% endmacro %}
diff --git a/shared/projects/dbt/slack_analytics/macros/unnest_array.sql b/shared/projects/dbt/slack_analytics/macros/unnest_array.sql
new file mode 100644
index 00000000..d101b05b
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/macros/unnest_array.sql
@@ -0,0 +1,15 @@
+{% macro unnest_array(array_column, alias) %}
+    {{ return(adapter.dispatch('unnest_array', 'slack_analytics')(array_column, alias)) }}
+{% endmacro %}
+
+{% macro databricks__unnest_array(array_column, alias) %}
+    lateral view explode({{ array_column }}) as {{ alias }}
+{% endmacro %}
+
+{% macro snowflake__unnest_array(array_column, alias) %}
+    , lateral flatten(input => {{ array_column }}) as {{ alias }}
+{% endmacro %}
+
+{% macro duckdb__unnest_array(array_column, alias) %}
+    , unnest(from_json({{ array_column }}, '["JSON"]')) as t({{ alias }})
+{% endmacro %}
\ No newline at end of file
diff --git a/shared/projects/dbt/slack_analytics/models/dimensions/_models.yml b/shared/projects/dbt/slack_analytics/models/dimensions/_models.yml
new file mode 100644
index 00000000..0eccb673
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/models/dimensions/_models.yml
@@ -0,0 +1,39 @@
+version: 2
+models:
+  - name: dim_slack_messages
+    description: |
+      This table contains one row per Slack message obtained from `stg_channel_messages`.
+    columns:
+      - name: message_id
+        data_type: string
+        description: Unique identifier for the message. Primary key.
+        tests:
+          - unique
+          - not_null
+      - name: user_id
+        data_type: string
+        description: The user ID of the person who sent the message.
+      - name: channel_name
+        data_type: string
+        description: The name of the channel the message was sent in.
+      - name: reply_count
+        data_type: int
+        description: The number of replies to the message.
+      - name: reply_users_count
+        data_type: int
+        description: The number of users who replied to the message.
+      - name: reply_users
+        data_type: array<string>
+        description: An array of the users who replied to the message.
+      - name: reactions
+        data_type: array<struct<name:string, users:array<string>, count:int>>
+        description: An array of the reactions to the message including the reaction type and the user who reacted.
+      - name: message_date
+        data_type: date
+        description: The date the message was sent.
+      - name: message_datetime
+        data_type: timestamp
+        description: The date and time the message was sent.
+      - name: extracted_datetime
+        data_type: timestamp
+        description: The date and time the message was extracted from the Slack API.
\ No newline at end of file
diff --git a/shared/projects/dbt/slack_analytics/models/dimensions/dim_slack_messages.sql b/shared/projects/dbt/slack_analytics/models/dimensions/dim_slack_messages.sql
new file mode 100644
index 00000000..36754628
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/models/dimensions/dim_slack_messages.sql
@@ -0,0 +1,52 @@
+{{
+    config(
+        materialized='incremental',
+        unique_key='message_id',
+        partition_by=['message_date'],
+        incremental_strategy='delete+insert'
+    )
+}}
+
+-- get new data from staging
+with staging as (
+
+    select 
+        message_id,
+        user_id,
+        channel_name,
+        cast(reply_count as INT) as reply_count, 
+        cast(reply_users_count as INT) as reply_users_count,
+        reply_users,
+        reactions,
+        {{ to_date('message_datetime', localize=True, timezone=var('local_timezone')) }} as message_date,
+        message_datetime,
+        extracted_datetime
+    from {{ ref('stg_channel_messages') }}
+    {% if is_incremental() %}
+        where extracted_datetime > (
+            select max(extracted_datetime) from {{ this }}
+        )
+    {% endif %}        
+)
+
+-- row number comparison to be removed after first table build
+-- get the latest row per message_id
+,dimension as (
+    select
+        message_id,
+        user_id,
+        channel_name,
+        reply_count,
+        reply_users_count,
+        reply_users,
+        reactions,
+        message_date,
+        message_datetime,
+        extracted_datetime
+
+    from staging 
+    where 1=1
+    qualify row_number() over (partition by message_id order by extracted_datetime desc) = 1
+)
+
+select * from dimension
\ No newline at end of file
diff --git a/shared/projects/dbt/slack_analytics/models/facts/_models.yml b/shared/projects/dbt/slack_analytics/models/facts/_models.yml
new file mode 100644
index 00000000..115ce3d9
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/models/facts/_models.yml
@@ -0,0 +1,36 @@
+version: 2
+models:
+  - name: fct_slack_message_reactions
+    description: |
+      This table expands reaction data for messages from dim_slack_messages. Contains one row per `message_reaction_id`.
+    columns:
+      - name: message_reaction_id
+        data_type: string
+        description: The surrogate key for the message reaction created using the message_id, reaction_name and reaction_user.
+        tests:
+          - unique
+          - not_null
+      - name: message_id
+        data_type: string
+        description: Unique identifier for the message. Foreign key to dim_slack_messages.
+      - name: message_date
+        data_type: date
+        description: The date the message was sent.
+      - name: message_datetime
+        data_type: timestamp
+        description: The date and time the message was sent.
+      - name: channel_name
+        data_type: string
+        description: The name of the channel the message was sent in.
+      - name: reaction_name
+        data_type: string
+        description: The name of the reaction used on the message.
+      - name: reaction_name_normalised
+        data_type: string
+        description: The generic reaction name if the `reaction_name` contains skin-tone variations.
+      - name: reaction_user
+        data_type: string
+        description: The user_id of the user who used the specified reaction to the message.
+      - name: extracted_datetime
+        data_type: timestamp
+        description: The date and time the message was extracted from the Slack API.
\ No newline at end of file
diff --git a/shared/projects/dbt/slack_analytics/models/facts/fct_slack_message_reactions.sql b/shared/projects/dbt/slack_analytics/models/facts/fct_slack_message_reactions.sql
new file mode 100644
index 00000000..63030112
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/models/facts/fct_slack_message_reactions.sql
@@ -0,0 +1,64 @@
+{{
+    config(
+        materialized='incremental',
+        unique_key='message_reaction_id',
+        partition_by=['message_date'],
+        incremental_strategy='delete+insert'
+    )
+}}
+
+-- get new data from staging
+with dim_messages as (
+    select * from {{ ref('dim_slack_messages') }}
+    {% if is_incremental() %}
+        where extracted_datetime > (
+            select max(extracted_datetime) from {{ this }}
+        )
+    {% endif %}
+)
+
+,semi_expanded_reactions as (
+    select
+        message_id,
+        channel_name,
+        reaction.users as reaction_users,
+        reaction.name as reaction_name,
+        message_date,
+        message_datetime,
+        extracted_datetime
+    from dim_messages
+    {{ unnest_array('reactions', 'reaction') }}
+)
+
+,expanded_reactions as (
+    select
+        message_id,
+        channel_name,
+        reaction_name,
+        reaction_user,
+        message_date,
+        message_datetime,
+        extracted_datetime
+    from semi_expanded_reactions
+    {{ unnest_array('reaction_users', 'reaction_user') }}
+)
+
+,dimension as (
+    select
+        {{ dbt_utils.generate_surrogate_key(['message_id', 'reaction_user', 'reaction_name']) }} as message_reaction_id,
+        message_id,
+        message_date,
+        message_datetime,
+        channel_name,
+        reaction_name,
+        -- normalise reaction name to remove skin tone suffix
+        case when instr(reaction_name, '::skin-tone') > 0 
+            then split(reaction_name, '::')[0] 
+            else reaction_name 
+            end as reaction_name_normalised,
+        reaction_user,
+        extracted_datetime  
+    from expanded_reactions s
+)
+
+select * from dimension
diff --git a/shared/projects/dbt/slack_analytics/models/staging/_models.yml b/shared/projects/dbt/slack_analytics/models/staging/_models.yml
new file mode 100644
index 00000000..47d1f749
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/models/staging/_models.yml
@@ -0,0 +1,40 @@
+version: 2
+models:
+- name: stg_channel_messages
+  description: |
+    This contains one row per 'Slack message extracted on `extracted_at` date' for all messages from all channels in the Slack workspace that are being ingested.
+  columns:
+  - name: message_id
+    data_type: string
+    description: Unique identifier for the message. Part of combined primary key.
+    tests:
+    - not_null
+  - name: user_id
+    data_type: string
+    description: The user ID of the person who sent the message.
+  - name: channel_name
+    data_type: string
+    description: The name of the channel the message was sent in.
+  - name: reply_count
+    data_type: bigint
+    description: The number of replies to the message.
+  - name: reply_users_count
+    data_type: bigint
+    description: The number of users who replied to the message.
+  - name: reply_users
+    data_type: ARRAY<STRING>
+    description: An array of the users who replied to the message.
+  - name: reactions
+    data_type: array<struct<name:string, users:array<string>, count:int>>
+    description: |
+      An array of the reactions to the message including the reaction type and the user who reacted.
+      Contains:
+      - An array of the users who used the specified reaction to the message.
+      - The name of the reaction used on the message.
+      - The number of times the reaction was used on the message.
+  - name: message_datetime
+    data_type: timestamp
+    description: The date and time the message was sent.
+  - name: extracted_datetime
+    data_type: timestamp
+    description: The date and time the message was extracted from the Slack API. Part of combined primary key.
\ No newline at end of file
diff --git a/shared/projects/dbt/slack_analytics/models/staging/_sources.yml b/shared/projects/dbt/slack_analytics/models/staging/_sources.yml
new file mode 100644
index 00000000..2376aebf
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/models/staging/_sources.yml
@@ -0,0 +1,9 @@
+version: 2
+
+sources:
+  - name: slack_analytics
+    database: ""
+    schema: main
+    tables:
+      - name: channel_messages
+        identifier: channel_messages_stats_with_reactions
\ No newline at end of file
diff --git a/shared/projects/dbt/slack_analytics/models/staging/stg_channel_messages.sql b/shared/projects/dbt/slack_analytics/models/staging/stg_channel_messages.sql
new file mode 100644
index 00000000..41d31a3f
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/models/staging/stg_channel_messages.sql
@@ -0,0 +1,21 @@
+with source as (
+
+    select * from {{ source('slack_analytics', 'channel_messages')  }}
+
+),
+
+renamed as (
+    select
+        message_id,
+        user_id,
+        channel_name,
+        reply_count, 
+        reply_users_count,
+        {{ parse_json('reply_users') }} as reply_users,
+        {{ parse_json('reactions') }} as reactions,
+        message_datetime,
+        extracted_datetime
+    from source
+)
+
+select * from renamed
\ No newline at end of file
diff --git a/shared/projects/dbt/slack_analytics/package-lock.yml b/shared/projects/dbt/slack_analytics/package-lock.yml
new file mode 100644
index 00000000..042fb010
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/package-lock.yml
@@ -0,0 +1,6 @@
+packages:
+  - package: dbt-labs/dbt_utils
+    version: 1.3.3
+  - package: dbt-labs/codegen
+    version: 0.14.0
+sha1_hash: 0bdb2e66059b658779d469175efdfa158b6f4b7b
diff --git a/shared/projects/dbt/slack_analytics/packages.yml b/shared/projects/dbt/slack_analytics/packages.yml
new file mode 100644
index 00000000..0fb175d9
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/packages.yml
@@ -0,0 +1,5 @@
+packages:
+  - package: dbt-labs/dbt_utils
+    version: ">=1.3.0"
+  - package: dbt-labs/codegen
+    version: ">=0.12.1"
diff --git a/shared/projects/dbt/slack_analytics/profiles.yml b/shared/projects/dbt/slack_analytics/profiles.yml
new file mode 100644
index 00000000..f41f19fd
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/profiles.yml
@@ -0,0 +1,7 @@
+slack-analytics-duckdb:
+  target: dev
+  outputs:
+    dev:
+      type: duckdb
+      path: "./slack_analytics.duckdb"
+      schema: main
\ No newline at end of file
diff --git a/shared/projects/dbt/slack_analytics/seeds/channel_messages_stats_with_reactions.csv b/shared/projects/dbt/slack_analytics/seeds/channel_messages_stats_with_reactions.csv
new file mode 100644
index 00000000..e02762c3
--- /dev/null
+++ b/shared/projects/dbt/slack_analytics/seeds/channel_messages_stats_with_reactions.csv
@@ -0,0 +1,101 @@
+id,message_id,user_id,reply_count,reply_users_count,message_datetime,extracted_datetime,reply_users,channel_name,reactions
+U1FM88J9J,82e710eb-abbc-450c-b8a9-e341d5b063a7,UP9T7VJBF,46,27,2024-10-10T16:14:26Z,2024-10-10T16:51:11Z,"[""UWW10VL06"",""UOBK5OFZ0"",""US3QTX4Z1"",""UE83A3954"",""UV77JEL7Q"",""U5V38TNV1"",""U3TE14ET2"",""UYJ494VWS"",""UK839UQ5R"",""U549234TU"",""U24SJD0U3"",""UB51ZBPGJ"",""UYEP6YY91"",""U306GEBY8"",""UL9VWQ9S2"",""UY640917T"",""U85PB3J63"",""UIX8TSI0Y"",""UKA77QAYY"",""UC3Z15JC3"",""UK4V3ON2O"",""U2XQ3JJAN"",""UNC2V4ZD7"",""UNS22LGIY"",""UIDQ8QXI5"",""U4095YWYD"",""UB9LLF16J""]",engineering,"[{""name"": ""white_check_mark"", ""users"": [""USI1BH3K3""], ""count"": 1}, {""name"": ""raised_hands"", ""users"": [""UNVWFC5Q1"", ""UO513ARUP""], ""count"": 2}, {""name"": ""this"", ""users"": [""ULWL32B29"", ""UB81I8027"", ""UL92954KA""], ""count"": 3}, {""name"": ""pray"", ""users"": [""UNNH8IW78""], ""count"": 1}, {""name"": ""approved"", ""users"": [""UF39WLXAT""], ""count"": 1}]"
+UYVM94HE1,be311f21-d47d-4e54-988c-7662801826f6,UB51ZBPGJ,21,17,2025-02-09T07:54:56Z,2025-02-09T08:49:21Z,"[""UZ90K3JDW"",""UU6K92DUR"",""U8S28EIM6"",""U84A3Q05B"",""U3U77Y17K"",""UFUV7GPHM"",""UEA8H90WN"",""UO513ARUP"",""ULWL32B29"",""U0381889F"",""U6P582A60"",""UNNH8IW78"",""UL96240J4"",""UR257U86O"",""UN979RN92"",""UG6UG9470"",""U0D6182AR""]",cats,"[{""name"": ""laugh"", ""users"": [""UG6UG9470"", ""UIX8TSI0Y"", ""U378U76S4""], ""count"": 3}, {""name"": ""raised_hands"", ""users"": [""U8S28EIM6"", ""ULAN263E4""], ""count"": 2}]"
+UL9VWQ9S2,513adecc-41a0-4f3c-93e4-dde57aca0482,ULAN263E4,22,1,2025-06-18T01:05:33Z,2025-06-18T01:28:17Z,"[""UPT27H737""]",random,"[{""name"": ""laugh"", ""users"": [""ULAN263E4""], ""count"": 1}]"
+US3QTX4Z1,f0f60d68-d642-4b54-86d7-79ff659cceb1,U0KG42Q0P,28,17,2024-08-17T22:10:57Z,2024-08-17T22:58:56Z,"[""UU95TZPYP"",""UNVWFC5Q1"",""U7ZP08017"",""UDC0ZA535"",""ULRS0HVJ3"",""UV4M04Y17"",""USI1BH3K3"",""UB81I8027"",""U0EIW7DOX"",""UKVN1ZI1Z"",""U0KG42Q0P"",""UF39WLXAT"",""U7PX1XVTE"",""UZ271WU40"",""UHGL04640"",""UFF1HYHJ2"",""UP9T7VJBF""]",cats,"[{""name"": ""merged"", ""users"": [""UF39WLXAT""], ""count"": 1}, {""name"": ""pray"", ""users"": [""UN0J0I7F0""], ""count"": 1}, {""name"": ""this"", ""users"": [""ULWL32B29"", ""U0EIW7DOX""], ""count"": 2}, {""name"": ""ty"", ""users"": [""UFF1HYHJ2""], ""count"": 1}]"
+U34AX16M0,6f4ae718-5b33-4ba7-83b1-e259826bf8ff,U85PB3J63,46,14,2024-08-14T07:13:48Z,2024-08-14T07:20:08Z,"[""U168N7Y9G"",""UORS33I12"",""U7W96XW2A"",""U3GY5K9EQ"",""U3HY0BS3W"",""UCL2RJ89X"",""U91Q0A72O"",""U1FM88J9J"",""U34AX16M0"",""U378U76S4"",""U96N45CL2"",""UWL5JX23M"",""UE0WA7608"",""ULAN263E4""]",random,[]
+UFUV7GPHM,07941fc7-cd12-4361-827b-537c86f528a2,U7PX1XVTE,18,15,2025-11-12T17:54:45Z,2025-11-12T18:47:58Z,"[""UH1039P7I"",""UA3IV9419"",""U3O3NUM10"",""UH749DC04"",""UA7M10C0O"",""UWBXBIUB7"",""UJ65P6F44"",""UK756E555"",""UYVM94HE1"",""U9E255NN9"",""UN0J0I7F0"",""U0GBC0N90"",""U9YFOYM78"",""UNY6WDI60"",""U81OT695K""]",engineering,"[{""name"": ""laugh"", ""users"": [""UCL2RJ89X"", ""U0GBC0N90""], ""count"": 2}, {""name"": ""point_up"", ""users"": [""UWL5JX23M""], ""count"": 1}]"
+U9E255NN9,b3176fde-c40a-4c48-9a3a-518c258a00b1,U2XQ3JJAN,3,3,2024-10-13T01:09:14Z,2024-10-13T01:25:14Z,"[""U2M260029"",""U2QXC4ZNG"",""U08ITMEA6""]",random,[]
+U4095YWYD,4ac881c4-5c68-46ef-8201-2f8724fef37e,UYEP6YY91,34,7,2025-04-23T21:29:00Z,2025-04-23T21:40:46Z,"[""UL2989703"",""UL92954KA"",""UZ5125Y28"",""UQSF747QR"",""UEZMYV74R"",""UQY0NPYWN"",""U2XQ3JJAN""]",random,[]
+UHGL04640,2e2e77b7-4b96-417b-bec2-2942cde6debd,U0381889F,26,3,2024-08-15T00:16:33Z,2024-08-15T00:52:24Z,"[""UCL2RJ89X"",""UKA77QAYY"",""U0KG42Q0P""]",general,"[{""name"": ""pray"", ""users"": [""U2XQ3JJAN"", ""UNNH8IW78""], ""count"": 2}, {""name"": ""this"", ""users"": [""U2XQ3JJAN"", ""UFUV7GPHM"", ""UG6UG9470""], ""count"": 3}, {""name"": ""point_up"", ""users"": [""UHGL04640""], ""count"": 1}, {""name"": ""approved"", ""users"": [""UNNH8IW78""], ""count"": 1}]"
+UN0J0I7F0,72953848-057e-4fb7-815d-907819180cf0,UPT27H737,32,32,2025-11-24T14:50:39Z,2025-11-24T15:23:13Z,"[""UL92954KA"",""UB81I8027"",""UA3IV9419"",""UU6K92DUR"",""UDC0ZA535"",""UYJ494VWS"",""U168N7Y9G"",""UZ90K3JDW"",""U9E255NN9"",""UV4M04Y17"",""U8S28EIM6"",""UWL5JX23M"",""U3HY0BS3W"",""UL9VWQ9S2"",""UNVWFC5Q1"",""UNY6WDI60"",""U24SJD0U3"",""U7ZP08017"",""U4095YWYD"",""UH1039P7I"",""UO513ARUP"",""U84A3Q05B"",""UK4V3ON2O"",""UE83A3954"",""U3U77Y17K"",""UNNH8IW78"",""UWW10VL06"",""U0EIW7DOX"",""U306GEBY8"",""UOBK5OFZ0"",""U1FM88J9J"",""ULWL32B29""]",random,"[{""name"": ""approved"", ""users"": [""UU95TZPYP"", ""UB51ZBPGJ"", ""UNS22LGIY"", ""UKA77QAYY""], ""count"": 4}, {""name"": ""white_check_mark"", ""users"": [""UV77JEL7Q"", ""U6P582A60""], ""count"": 2}, {""name"": ""point_up"", ""users"": [""UU95TZPYP""], ""count"": 1}]"
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diff --git a/tasks/slack_analytics001/setup.sh b/tasks/slack_analytics001/setup.sh
new file mode 100644
index 00000000..fdf9e198
--- /dev/null
+++ b/tasks/slack_analytics001/setup.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+# Remove the facts folder and all its contents
+rm -rf models/facts
+
+dbt deps
+dbt run
\ No newline at end of file
diff --git a/tasks/slack_analytics001/solution.sh b/tasks/slack_analytics001/solution.sh
new file mode 100755
index 00000000..e039b2b9
--- /dev/null
+++ b/tasks/slack_analytics001/solution.sh
@@ -0,0 +1,117 @@
+#!/bin/bash
+# Create the fact folder
+mkdir -p models/facts
+
+# Create the fct_slack_message_reactions table
+cat > models/facts/fct_slack_message_reactions.sql << EOF
+{{
+    config(
+        materialized='incremental',
+        unique_key='message_reaction_id',
+        partition_by=['message_date'],
+        incremental_strategy='delete+insert'
+    )
+}}
+
+-- get new data from staging
+with dim_messages as (
+    select * from {{ ref('dim_slack_messages') }}
+    {% if is_incremental() %}
+        where extracted_datetime > (
+            select max(extracted_datetime) from {{ this }}
+        )
+    {% endif %}
+)
+
+,semi_expanded_reactions as (
+    select
+        message_id,
+        channel_name,
+        reaction.users as reaction_users,
+        reaction.name as reaction_name,
+        message_date,
+        message_datetime,
+        extracted_datetime
+    from dim_messages
+    {{ unnest_array('reactions', 'reaction') }}
+)
+
+,expanded_reactions as (
+    select
+        message_id,
+        channel_name,
+        reaction_name,
+        reaction_user,
+        message_date,
+        message_datetime,
+        extracted_datetime
+    from semi_expanded_reactions
+    {{ unnest_array('reaction_users', 'reaction_user') }}
+)
+
+,dimension as (
+    select
+        {{ dbt_utils.generate_surrogate_key(['message_id', 'reaction_user', 'reaction_name']) }} as message_reaction_id,
+        message_id,
+        message_date,
+        message_datetime,
+        channel_name,
+        reaction_name,
+        -- normalise reaction name to remove skin tone suffix
+        case when instr(reaction_name, '::skin-tone') > 0 
+            then split(reaction_name, '::')[0] 
+            else reaction_name 
+            end as reaction_name_normalised,
+        reaction_user,
+        extracted_datetime  
+    from expanded_reactions s
+)
+
+select * from dimension
+
+EOF
+
+# Create the _models.yml file
+cat > models/facts/_models.yml << EOF
+version: 2
+models:
+  - name: fct_slack_message_reactions
+    description: |
+      This table expands reaction data for messages from dim_slack_messages. Contains one row per `message_reaction_id`.
+    columns:
+      - name: message_reaction_id
+        data_type: string
+        description: The surrogate key for the message reaction created using the message_id, reaction_name and reaction_user.
+        tests:
+          - unique
+          - not_null
+      - name: message_id
+        data_type: string
+        description: Unique identifier for the message. Foreign key to dim_slack_messages.
+      - name: message_date
+        data_type: date
+        description: The date the message was sent.
+      - name: message_datetime
+        data_type: timestamp
+        description: The date and time the message was sent.
+      - name: channel_name
+        data_type: string
+        description: The name of the channel the message was sent in.
+      - name: reaction_name
+        data_type: string
+        description: The name of the reaction used on the message.
+      - name: reaction_name_normalised
+        data_type: string
+        description: The generic reaction name if the ``reaction_name`` contains skin-tone variations.
+      - name: reaction_user
+        data_type: string
+        description: The user_id of the user who used the specified reaction to the message.
+      - name: extracted_datetime
+        data_type: timestamp
+        description: The date and time the message was extracted from the Slack API.
+EOF
+
+dbt deps
+
+# Run dbt to create the models
+dbt run --select fct_slack_message_reactions
diff --git a/tasks/slack_analytics001/task.yaml b/tasks/slack_analytics001/task.yaml
new file mode 100644
index 00000000..b28cb87e
--- /dev/null
+++ b/tasks/slack_analytics001/task.yaml
@@ -0,0 +1,61 @@
+task_id: slack_analytics001
+status: ready
+description: Create a fact table for slack analytics
+notes: |-
+  The existing fact folder gets deleted in the setup script, so the llm needs to create the folder and table from scratch.
+prompts:
+  - key: base
+    prompt: |-
+      Create a fact folder and table called fct_slack_message_reactions that expands reaction data for messages from dim_slack_messages, as well as the accompanying _models.yml (schema) file. 
+      The table should contain one row per `message_reaction_id`. It should have the following columns:
+      - message_reaction_id: The surrogate key for the message reaction created using the message_id, reaction_name and reaction_user.
+      - message_id: Unique identifier for the message. Foreign key to dim_slack_messages.
+      - message_date: The date the message was sent.
+      - message_datetime: The date and time the message was sent.
+      - channel_name: The name of the channel the message was sent in.
+      - reaction_name: The name of the reaction used on the message.
+      - reaction_name_normalised: The generic reaction name if the `reaction_name` contains skin-tone variations.
+      - reaction_user: The user_id of the user who used the specified reaction to the message.
+  - key: hard
+    prompt: |-
+      Create a fact folder and table called fct_slack_message_reactions that expands reaction data for slackmessages.
+author_name: test
+author_email: test
+difficulty: medium
+tags:
+  - dbt
+  - model-creation
+
+test_setup: |-
+  dbt deps
+  dbt run --select fct_slack_message_reactions
+
+# ADE-bench will automatically do several things with the tables listed here:
+#  1. Create solution seeds (called `solution__[table_name]`) after the agent runs.
+#  2. Create a dbt test that checks for the existence of this table
+#  3. Create a test to compare the table to corresponding solution seed.
+#
+# As is shown for with the tables below, you can:
+#  1. Exclude some columns from the equality test
+#  2. Only include certain columns in the equality test
+#  3. Disable the creation of both the existence and equality tests.
+#  4. Specify alternate solution seeds (for tasks with multiple valid answers)
+solution_seeds:
+  - table_name: fct_slack_message_reactions
+
+
+# These are the different database and project variants that the task supports
+# If no migration directory is provided, then no migration script will run.
+# If one is provided, it will be run against the project prior to the the task's
+# setup.sh script.
+variants:
+- db_type: duckdb
+  db_name: slack_analytics
+  project_type: dbt
+  project_name: slack_analytics
+
+# - db_type: snowflake
+#   db_name: enron
+#   project_type: dbt
+#   project_name: enron
+#   migration_directory: enron__duckdb_to_snowflake
\ No newline at end of file