A use case library of 10 customer stories gives sales teams proof points they can reference by industry, role, or problem type. Without one, reps rely on 2-3 anecdotes they remember and miss opportunities to reference the exact case that matches the prospect's situation. At aidowith.me, the Product Responses route covers this in 9 steps over about 45 minutes. You'll gather raw results data from customer interviews, CRM notes, or success surveys, and use AI to structure each story into a 4-part format: customer profile, challenge, solution implemented, and measurable result. AI generates all 10 stories from your input data and formats them into a searchable library by industry and use case type. Each story is 150-200 words: long enough for substance, short enough to paste into a proposal or read during a call.
Last updated: April 2026
The Problem and the Fix
Without a route
- Your sales team references the same 2 customer stories on every call because the others are buried in a 40-page case study PDF
- Customer success collects great results data but it never reaches a format sales can use in the field
- Prospects ask 'do you have a customer like us?' and reps can't quickly surface the most relevant example
With aidowith.me
- Build a searchable library of 10 use cases in 45 minutes from your existing results data
- Format each story at 150-200 words so reps can paste them into proposals or read them aloud during calls
- Tag each story by industry, company size, and problem type so reps find the right case in under 30 seconds
Who Uses This Tool
Sales & BizDev
Prep calls, draft outreach, research prospects in minutes.
Managers & Leads
Reports, presentations, and team comms handled faster.
Founders
Move fast on pitches, pages, research. AI as your first hire.
How It Works
Collect results data for 10 customers
Gather data from customer interviews, CRM notes, success reviews, or survey responses. You need 3 data points per customer: the specific challenge, the solution used, and at least one measurable result (percentage improvement, time saved, revenue impact).
Structure each story with AI
For each customer, AI writes a 150-200 word story in 4-part format: customer profile (industry, size, role), challenge, solution, result. You review for accuracy and add any context that makes the story more relatable to prospects.
Build the library and tag by use case type
Collect all 10 stories in one document or Notion database. AI generates tags for each story (industry, problem type, company size, key result) so reps can filter in under 30 seconds to find the most relevant case.
Build Your Use Case Library Today
Follow the 9-step Product Responses route at aidowith.me and create 10 structured customer stories from your data in about 45 minutes.
Start This Route →What You Walk Away With
Collect results data for 10 customers
Structure each story with AI
Build the library and tag by use case type
Tag each story by industry, company size, and problem type so reps find the right case in under 30 seconds
"Sales used to reference 2 stories. Now they pull the exact right case for every discovery call. Win rate on the accounts where reps cited a relevant case is up 23%."- VP of Customer Success, B2B platform
Questions
Gather results data from customer interviews, CRM notes, success reviews, or survey responses. You need 3 data points per customer: the specific challenge, the solution used, and at least one measurable result (percentage improvement, time saved, or revenue impact). AI structures each story into a 4-part format and generates a tag set for the library based on the data you provide.
Three things: the specific challenge the customer had before your product, what they implemented or changed with your product, and at least one measurable result (percentage improvement, time saved, revenue added, or cost reduced). Percentage results and specific time frames are more persuasive in sales conversations than general descriptions of outcomes.
Tag each story with at minimum: industry vertical, company size (SMB/mid-market/enterprise), primary problem type, and key result type (efficiency, revenue, risk). Use a simple Notion database or Google Sheet with filter columns. Reps should be able to find the right story in under 30 seconds by filtering on 2-3 tags.