Six Answers: What Kind of Meta Creative Intelligence Do You Need?
Choose the answer that best describes your team today. Each answer scores from 0-4 points.
Question 1 of 6
When a new creative request lands, what is blocked first?
Pick an answer to continue. Your result appears after question 6.
By Sachit Sharma, CEO & Founder · Reviewed 26 Sept 2026
In brief
Answer six quick questions to score your paid-social workflow from 0-24 across five equal bands. The assessment measures what is holding your workflow back so your result points to a next step, not a generic vendor list.
The score follows the work that is missing
Each answer is worth 0-4 points. Add the six answers for a total from 0-24. The assessment uses five equal-width score bands, with five consecutive scores in each band. Lower scores reflect an earlier-stage need for observable market signals. Higher scores reflect a need to turn several inputs into a focused operating decision.
Public ads are signals, not performance proof
As of September 2026, Meta's Ad Library documentation says people can search ads currently running across Meta technologies by keyword or advertiser, and that ads or updates appear within 24 hours. That makes public ads useful for forming a question, such as which message or format to investigate. It does not make an observed ad a proven revenue outcome.
Use the score to decide whether your next move is better research, a clearer performance read, less manual operating work, a stronger activation system, or a disciplined test queue. If research is your immediate gap, start with the competitor-research playbook.
What this assessment asks
6 questions. Each answer carries points; your total picks the result band below.
01When a new creative request lands, what is blocked first?
- We need to choose the few tests worth funding from several signals.
- We need to see which creative attributes performed in our own account.
- We need current competitor examples or fresh angles to investigate.
- We need to move approved assets and product information into active campaigns.
- We need fewer manual actions after we decide what to run.
02Which evidence can your team use together today?
- Account data plus rules or repeatable operating actions.
- Competitor activity, customer signals, ad performance and past tests.
- Mostly public ads and market observations.
- Asset, catalogue or campaign systems that need coordinated activation.
- Own-ad metrics, but not much structured creative analysis.
03What question repeats most often in your weekly creative review?
- Why did this creative perform differently from the others?
- What should we test, improve or stop next?
- How do we get more approved variations and products into market?
- What are competitors running right now?
- Which repeated campaign actions should happen without manual checks?
04After a creative decision is approved, where does work slow down?
- Assets, feeds or campaign handoffs slow down activation.
- The team still needs enough market context to write a brief.
- Too many plausible ideas compete for the same test capacity.
- Operators still make the same account changes by hand.
- The team needs a clearer read of the results already available.
05Who needs the output from your creative-intelligence work?
- Growth and creative leaders deciding which experiment gets resources.
- An analyst explaining creative performance to the team.
- A team coordinating assets, products and campaign launches.
- A strategist collecting examples and references.
- An operator responsible for recurring campaign actions.
06What would make your next Monday more useful?
- A more reliable way to prepare and activate campaign-ready assets.
- A better set of current ads and category examples to review.
- A ranked test plan with reasons to test, improve or stop each direction.
- Rules that remove repeated account-management work.
- A clearer explanation of which creative patterns worked.
How to read your score
| Score | Result | What it means |
|---|---|---|
| 0–4 | Research-first, 0-4 | Your immediate gap is market visibility. Start by collecting current, observable ads and turning the patterns you see into specific questions for your team. Do not mistake an ad archive for proof that an idea will work in your account. |
| 5–9 | Analytics-first, 5-9 | Your team has ads running and needs a clearer explanation of performance. Focus on connecting creative attributes to account outcomes before adding more production volume or operational tooling. |
| 10–14 | Automation-first, 10-14 | Repeated account actions are consuming attention after decisions are made. Your next system should reduce manual monitoring and execution work while keeping people responsible for the underlying creative choice. |
| 15–19 | Activation-suite first, 15-19 | Your bottleneck is getting approved creative, products or campaign inputs into market consistently. Prioritise the operating system that connects asset readiness and campaign activation before asking it to solve every strategic decision. |
| 20–24 | Decision-intelligence first, 20-24 | Your team has more potential inputs and ideas than it can responsibly test. The next need is a decision layer that weighs competitor activity, customer signals, performance and prior experiments, then makes the next queue explicit. |
Keep reading
Frequently asked
Each of the six questions has five answers worth 0, 1, 2, 3 or 4 points. Add all points for a 0-24 score. The five result bands are equal width, with each band covering five consecutive scores.
Competitor ads can expose publicly visible messages, offers and formats, but they cannot establish an advertiser's revenue or conversion outcome. Use them to form a testable idea, then connect that idea to your own performance and test records before assigning spend.
Automation can reduce repeated manual account actions after a decision is made. It does not by itself choose a strong hypothesis, explain why an earlier idea failed, or decide which of several possible tests deserves production time.
Yes. A team can begin with a research or analytics need, then move toward automation, activation or decision intelligence as its account data, operating process and test history become more connected.
Turn a decision-intelligence score into a Monday test plan
Every Monday, we combine competitor moves, customer signals, past ad learnings and performance inputs into a ranked plan for what to test, improve or stop. We tailor each quote to the team and workflow.
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