Community answers
Community answers solve questions where Customers already ask them, disclose affiliation, and post as an Agent only where the community allows Agents.
Community answers solve questions where Customers already ask them, on Reddit, Stack Overflow, Hacker News and GitHub. Each answer discloses its affiliation and helps even a reader who never clicks.
Ratings
| Dimension | Rating | Reads |
|---|---|---|
| Scalability | 2 of 5 | low: higher grows further with spend or automation |
| Cost | 2 of 5 | low: lower costs less per Customer |
| Latency | 3 of 5 | medium: lower answers sooner |
Budget
| Property | Value |
|---|---|
| Tier | $0 |
| Minimum effective budget | $0 a month |
How it runs
The Content Lead watches for questions the Product answers and replies with a fact or a worked example. An Agent posts as itself only where the community allows agents. Elsewhere it drafts, and a Human posts.
Processes
Runs as Content marketing, accountable to the Marketing Team.
Fits
| Fits | Value |
|---|---|
| Family | demand |
| Shelf | Seed: finds the first Customers (Launch) |
| Moves | Organic share |
| Motions | b2d, b2b, b2c |
| Venues | Reddit, Stack Overflow, Hacker News, GitHub |
| States | Live, Repeatable, Scale |
Loop
| Step | Value |
|---|---|
| Hypothesis | Disclosed answers to questions the ICP already asks bring more organic first touches than original posts. |
| Measure | Organic share over 60d, at least 30 observations |
| Learn | The learn step reads the Readout, records Evidence and a Decision, and drafts the next Variant. |
Example
A Startup selling a database backup service answers a recurring thread about restoring one table. The answer shows the command, names the service once with its affiliation, and still sends 40 Visitors a month a year later.