Sample Planning Sprint Pack
What the $5,000 Planning Sprint delivers.
A sample plan for Murmurline, a fictional social analytics platform that wants AI beyond our existing modules. Two weeks, no build: where AI fits, what it depends on, and a fixed quote.
What you get
- Where AI fits across your platform, with the customer outcome, users and data for each
- The prioritized capability map, with what each one depends on
- The readiness review of your architecture, data, platform APIs and permissions
- Cost-to-serve estimates per customer, with the assumptions shown
- The recommended first build: 2 to 3 capabilities and why they come first
- A fixed-price quote to build it and take it to production; the $5,000 counts toward it
Illustrative demo on a fictional agency. Not client work.
How the two weeks run
We plan with the people who know the platform.
About 2 to 3 hours a week from a product owner and an engineering lead. No build, no production access.
Week 1
- Walk the platform with your product, engineering and customer success leads
- Read what agencies ask for in support tickets and renewal calls
- Map what each platform API returns and permits today
Week 2
- Map the capabilities and review architecture, data, platform APIs and permissions
- Estimate the cost to serve per customer
- Agree the first build with you and write the fixed quote
01 · Where AI fits
Every opportunity, tied to a customer outcome.
Including capabilities our modules do not cover. Each one names who uses it and the data it needs.
| Opportunity | Who uses it | Data it needs |
|---|---|---|
| Campaign sentiment on one scale | Account leads | Comments, reactions, post metrics |
| Ranked social inbox | Social managers | Comments, messages, writer activity |
| Campaign brief drafts | Influencer teams | Past briefs and campaign results |
| Keyword and trend alerts | Brand teams | Collected posts over time |
02 · Capability map
Now, next and later, with what each depends on.
Ordered by customer value and by what your platform can support today.
| Capability | When | Depends on |
|---|---|---|
| Campaign sentiment on one scale | Now | Comments stored once per post |
| Ranked social inbox | Next | Message access on two platforms |
| Campaign brief drafts | Later | Structured past campaign results |
03 · Readiness review
Architecture, data and platform access, checked.
What is ready, what needs work, and what blocks a capability until it changes. Illustrative findings.
Findings
- Comments are refetched on every refresh; storing new ones once frees most of the X quota.
- Two collectors store zero when a call fails; scoring waits until failures are raised instead.
- Agencies want white label reports; the plan keeps branding rules on the server.
- Open question for you: include sentiment in every plan, or sell emotion and toxicity as a tier?
04 · Recommended first build
Score campaign sentiment on one scale first.
Three capabilities that share the same comments: a model for each signal, one 0 to 100 scale for every channel, and the report with editable summaries.
05 · Quote
A fixed price to build it and take it to production.
The fixed quote is in your Planning Sprint Pack, not on the site. If you go ahead, the $5,000 counts toward it; if you stop, the plan is yours.
Get a plan for your own platform.
Bring the AI questions your agencies and brands are asking. In 30 minutes we agree what the Planning Sprint would map.
Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.