How to Create Your First Project in Kommon Poll

This guide walks you through the five essential steps to launch your first listening project and start social listening from scratch.

Your first Kommon Poll project typically includes:

1. Adding tracking sources.
2. Building your Quick Search query.
3. Applying the query and creating the project topic.
4. Analysing your brand or topics.

Step 1 — Add Social & Review Tracking Sources

Tell Kommon Poll which accounts, pages, reviews, hashtags, and user IDs to monitor before you create a project.

Navigate to:

Dashboard → Integrations → Social Tracking

Here you can add:

• Social media pages, profiles, and groups.
• Hashtags and location feeds.
• App review pages.
• Hotel or business review listings.

1.1 How to Find Tracking Details

For any platform:

1. Open the page, profile, group, hashtag, or review listing you want to track.
2. Copy the URL, username, user ID, or hashtag.
3. Paste it into Kommon Poll.
4. Click Add / Track.

1.2 Example Tracking Details by Platform

Facebook

Track:

• Page URLs.
• Group URLs.
• Hashtags.

Examples:

• https://www.facebook.com/Nike/
• https://www.facebook.com/groups/iphoneuserslk/
• TravelSriLanka

Instagram

Track:

• Profile user IDs.
• Hashtags.
• Location URLs.

Examples:

• User ID: 17841405793187218
• Hashtag: #adidasoriginals
• Location: https://www.instagram.com/explore/locations/213456789/cafe-colombo/

Note: Kommon Poll tracks User IDs, not usernames.

TikTok

Track:

• User profile URLs.
• Hashtags.

Examples:

• https://www.tiktok.com/@samsung
• fashiontips

Telegram

Track:

• Public channels.

Example:

• https://t.me/ColomboUpdates

Google Reviews

Track:

• Business review URLs.

Example:

• https://www.google.com/maps/place/ABC+Hotel/reviews/

Tripadvisor

Track:

• Hotel or restaurant review pages.

Example:

• https://www.tripadvisor.com/Hotel_Review-g293962-d2031234-Reviews-Ocean_View_Hotel-Colombo.html

Booking.com

Track:

• Property review URLs.

Example:

• https://www.booking.com/hotel/lk/cinnamon-red.html#tab-reviews

Hotels.com / Expedia / Agoda

Track:

• Hotel or travel review pages.

Example:

• https://www.agoda.com/the-kingsbury-colombo/reviews.html

TrustPilot

Track:

• Business review pages.

Example:

• https://www.trustpilot.com/review/www.apple.com

Google Play / App Store

Track:

• App review pages.

Examples:

• Google Play: https://play.google.com/store/apps/details?id=com.whatsapp
• App Store: https://apps.apple.com/us/app/ebay-buy-sell/id282614216

Step 2 — Build Your Quick Search Query

Your query tells Kommon Poll which brand terms, keywords, or topics to look for across the tracking sources you added.

Go to:

Quick Search → Create New Search

Option A — AI-Generated Query

1. Enter your brand or topic.
2. Choose a query length (Short, Medium, or Long).
3. Kommon Poll automatically generates a Boolean query with:

• Variations.
• Misspellings.
• Related words.
• Product names.

Option B — Manual Query

1. Select Generate Query Manually.
2. Add your own keywords:

• Brand terms.
• Variations.
• Synonyms.

1. Use Boolean operators (AND, OR, NOT) to combine them.

Step 3 — Apply the Query & Run Search

1. Click Search.
2. Kommon Poll gathers:

• Posts and comments.
• Reviews.
• Hashtag mentions.
• Social activity from all tracking sources.

Your dataset now appears for review.

Step 4 — Create Your Project Topic

Once the search results look correct:

1. Click Create Topic from Search.
2. Fill out the topic details.

Project Fields

• Topic Name
• Description (AI auto-generate option available).
• Project Type (General, My Brand, Sub Brand, Competitors, Campaign, Industry).

1. Save the topic.
2. Add more topics if needed (for example, complaints, competitors, campaigns).

Step 5 — Begin Analysis

After the query and topic are set up, Kommon Poll starts showing:

• Brand, topic, or campaign volume trends.
• Sentiment breakdown (positive, negative, neutral).
• Platform and source distribution.
• Key conversations, influencers, hashtags, and keywords.
• Competitor mentions and review highlights.

You now have a live project that continuously monitors the data you care about.