Meeting and campaign insight reporting workspace

For

Marketing and research teams running online meetings and campaigns

Solves

Meeting recordings and campaign results sit in separate tools, so insights are slow to assemble and hard to verify.

Delivers

Reviewer-approved insight reports linked to their sources

Built in

about 5 weeks of creation time, MVP in 5 days

Investment

$12,500 for the MVP, $42,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce the time from raw recordings and campaign data to reviewed, evidence-linked insight reports.

1. Import meeting recordings and campaign exports.
2. Process recordings into summaries and optimization notes.
3. Show live dashboards and performance tracking.
4. Group audiences by behavior and demographics.
5. Connect advertising platform accounts.
6. Apply customizable campaign templates.
7. Detect emotions during video calls.
8. Analyze facial micro-expressions and speech tone.
9. Process data locally on the user's device.
10. Run as a browser extension.
11. Support UX research, recruiting, education and sales cases.
12. Convert recordings into audio summaries.
13. Play summaries in podcast format.
14. Search within transcripts.
15. Import recordings from video conferencing platforms.
16. Adjust summary length and focus areas.
17. Compare the reviewed result with the recorded baseline and value assumptions.
18. Capture corrections and named-owner approval before consequential use.
19. Export a versioned reviewer-approved insight report linked to its sources with source references and unresolved questions.

Everything these tools do, in one app

• Automated content processing Automatically processes recordings or campaigns to produce summaries or optimizations.Found in Attentionkart, Daily Read - Podcast of Your Meetings
• Real-time analytics Provides live dashboards and performance tracking for campaigns or meetings.Found in Attentionkart, EmotionSense Pro
• Audience segmentation Groups audiences based on behavior and demographics for targeted actions.Found in Attentionkart
• Ad platform integration Connects with major advertising platforms like Google Ads and Facebook.Found in Attentionkart
• Customizable templates Offers templates that can be customized for quick campaign setup.Found in Attentionkart
• Emotion detection Detects emotions in real-time during video calls using AI.Found in EmotionSense Pro
• Facial and vocal analysis Analyzes facial micro-expressions and speech tone to infer emotions.Found in EmotionSense Pro
• Local data processing Processes data on the user's device without sending it to external servers.Found in EmotionSense Pro
• Browser extension Runs as an extension within the Chrome browser.Found in EmotionSense Pro
• Professional use cases Supports use cases like UX research, recruiting, education, and sales.Found in EmotionSense Pro
• Audio summaries Converts meeting recordings into concise audio summaries.Found in Daily Read - Podcast of Your Meetings
• Podcast-style playback Allows listening to meeting summaries in a podcast format on various devices.Found in Daily Read - Podcast of Your Meetings
• Searchable transcripts Enables searching within transcripts to find specific topics or points.Found in Daily Read - Podcast of Your Meetings
• Video conferencing integration Imports recordings from popular video conferencing platforms.Found in Daily Read - Podcast of Your Meetings
• Customizable summary length Allows users to adjust the length and focus areas of summaries.Found in Daily Read - Podcast of Your Meetings

What goes in, what comes out

The workflow

1. In
   Start with

   Authorized meeting recordings, campaign exports, transcripts and audience data

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect authorized recordings

4. 3

   Campaign exports

5. 4

   Transcripts and audience data

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewer-approved insight reports linked to their sources

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Emotion inference stays advisory; final interpretation and reporting remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Source intake and permissions, Editable insight workspace, Client report and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for sources, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome reviewer-approved insight reports linked to their sources visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Authorized meeting recordings, campaign exports and permitted research sources. Cloud asset storage, transcript import/export and reporting destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   5 days

   One buyer segment, one recurring use case; first modules: import meeting recordings and campaign exports; process recordings into summaries and optimization notes. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will marketing and research teams running online meetings and campaigns use it to solve "meeting recordings and campaign results sit in separate tools, so insights are slow to assemble and hard to verify"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted insight reports per analyst hour and corrections after report approval.
4. Measure, then decide. Track accepted insight reports per analyst hour and corrections after report approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One meeting platform and one ad platform; emotion inference stays advisory and final interpretation remains human. Implement one approved input format, a bounded representative case set and the first two task modules: import meeting recordings and campaign exports; process recordings into summaries and optimization notes. Support the remaining modules with operator review. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewer-approved insight reports linked to their sources. Retain the explicit scope boundary: One meeting platform and one ad platform; emotion inference stays advisory and final interpretation remains human.

What the build depends on. Asset upload and preview, asynchronous processing jobs, editable version history, reviewer access and tested export formats. High-fidelity emotion analysis requires specialist review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One meeting platform and one ad platform; emotion inference stays advisory and final interpretation remains human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined report package. Offer a monthly production allowance after repeat demand. Quote complex multi-platform or specialist research work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved insight report linked to its sources. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce the time from raw recordings and campaign data to reviewed, evidence-linked insight reports. Demonstrate a concrete reviewer-approved insight report linked to its sources using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Marketing and research teams running online meetings and campaigns professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved insight report linked to its sources from a small authorized input set, with a transparent calculation of accepted insight reports per analyst hour and corrections after report approval and no promised savings.

The first 30 days

1. Week 1: interview five marketing and research teams running online meetings and campaigns and inspect a recent example of meeting recordings and campaign results sitting in separate tools, so insights are slow to assemble and hard to verify.
2. Week 2: prepare a consented or synthetic demonstration of the stated task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted insight reports per analyst hour and corrections after report approval, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted insight reports per analyst hour and corrections after report approval. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted insight reports per analyst hour and corrections after report approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewer-approved insight reports linked to their sources. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved report formats, campaign constraints and review examples, together with reliable delivery for a narrow marketing niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for marketing and research teams running online meetings and campaigns. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Attentionkart, EmotionSense Pro and Daily Read - Podcast of Your Meetings, plus manual spreadsheet and note-taking workflows. Compare this product with the buyer's present method on accepted insight reports per analyst hour and corrections after report approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Processing attempts, transcription and media processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewer-approved insight reports linked to their sources. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve participant consent, source attribution, quotation accuracy and usage permissions. Named reviewers approve substantive interpretations and publication scope. One meeting platform and one ad platform; emotion inference stays advisory and final interpretation remains human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.