Reviews and NPS service
The system asks the customer at the moment there is something to say, and collects a score and a comment. An unhappy answer reaches a person before it turns into a public one.
- Buildfrom $1,700
- Timeline2–4 weeks
- Supportfrom $420/mo
Who this suits: Businesses where reviews are asked for by hand and not always, and dissatisfaction is discovered on a public listing.
What is in the first version
- event-driven request
- score and comment
- task on negatives
- NPS by segment
The figures above are the package this sits on: Dashboard and analytics. Anything past its edges the calculator adds before the work starts, not after.
How the path goes
- 01
Asked when something is worth saying
The request is tied to an event rather than a mailing date, with one score and one field in words.
- 02
The answer splits two ways
A low score becomes a task with a deadline, a high one an offer to post it publicly.
- 03
Answers add up to a reason
Comments are grouped by theme, so what is visible is not that the score drops but on what.
What decides whether this works or annoys people
Filtering who posts breaks the rules
Everyone gets the invitation, because inviting only high scores is against platform rules and reviews are removed in bulk.
Asking twice is worse than never
Frequency is capped per customer rather than per deal, and a refusal to answer is a state, not a pause.
Collected and ignored is worse
A question left unanswered reads as being set aside, so the task has an owner, a deadline and an escalation.
What to measure once it is live
- share of requests answered
- time to react to a low score
- low scores closed by a solution
- reviews posted publicly
Why this comes out faster
The shape of this one is known: the states, the edge cases and the things that usually go wrong have been decided before. Nothing here is a template, and the saving is not in your half of the work. It goes into your process, your content and the systems this has to talk to, which is the part nobody can have solved in advance.
A likely stack for this
Picked against the task when we scope it, not decided in advance. This is the shelf it usually comes off.
- Requests and their timingNode.jsTemporaln8nRedisTelegram Bot API
- Data and analysisPostgreSQLPrismaClickHouseOpenAIAnthropic
- Screens and operationsTypeScriptReactNext.jsDockerGrafana
Price it yourself, right here
Five steps, and you can see the number without leaving a contact. The estimate accounts for the kind of work, what you already have and what it will need inside.
These bills do not come from us
- email and SMS carrying the requests
- AI calls that sort comments into themes
- paid API access to review platforms
- the domain the requests are sent from
Asked before the first call
- Can we keep the bad reviews out of sight?
- Inside your system you see all of them. On your own site you publish what you choose, provided a selection is not shown as everything. Filtering invites to outside platforms we will not build.
- Where should the ask go, email or a messenger?
- Wherever you already talk to the customer about the work itself: an unfamiliar sender gets few answers. Each channel is a separate connection and a separate line in the estimate.
- What does NPS mean when there are few deals?
- On small numbers the index swings on one answer, and we say so rather than hide it in a chart. The comments and the share of problems solved carry more.