A good feature description should answer a question the reader hasn’t thought to ask. Registers twenty seconds to articulate the question “what this lets me stop doing?” Teams provide this answer, however, because they answered the question “how does this feature work?” instead, since this is the area that they built.
Most feature copy falls into the gap between the two answers. We close that gap by having our writers use the features before describing them.
Users will grasp a description when they can see themselves performing the action, which requires more than just a checklist of capabilities. ‘Approve invoices from Slack without opening the app’ is an example that was originally easy to comprehend. ‘Streamlined approval workflows with integrations’ describes a broad category, and every competitor creates the same category on the same day.
Your feature model only offers the name of the feature to work with, so it generates possible advantages. This is how claims state that something polls every fifteen minutes will have real-time sync. The sentence flows well and is misleading, and your support queue is where you learn this.
Once the author has an account and completes the workflow for the feature, they begin to notice some details that are not documented in the spec sheet, such as, the step that the feature removes, the permission it requires, and the exception for which it does not apply. We ask your support team which of the features is the most misinterpreted, and write that one first.
The leakage of feature copy brings the inconsistencies across the pricing page, sales deck, docs, and in-product release notes. If your marketing site that calls Workspaces and your sidebar calls Projects means that you pay to support every disparity. To reduce this, we give our customers a Quick References document which is a short term, feature copy reference to solve the ambiguity on the customer side.
One rate, whatever the format: $10 per 100 words. You are paying for the writer’s time and judgement, so the price scales with the words rather than with a package tier.
| Typical feature description | Words | Writing | Fee (1%) | You pay |
|---|---|---|---|---|
| Short | 500 | $50 | $0.50 | $50.50 |
| Standard | 1,000 | $100 | $1 | $101 |
| In-depth | 2,000 | $200 | $2 | $202 |
The writer receives 100% of the writing price. Our 1% fee is added on top of it, and 0.5% is donated to tree planting. Full pricing breakdown.
Ask on the contact page and a person will answer, usually the same working day. For a live order, reply to your confirmation email and it reaches whoever is handling it.
Ask on the contact page and a person will answer, usually the same working day. For a live order, reply to your confirmation email and it reaches whoever is handling it.
We write code using design and specific descriptions. We mark each sentence that depends on unimplemented behavior. After our first version of the code is built, we request a single revision. Often, written code that closely matches the intent of the requirement needs to be changed when the feature is actually built.
Usually yes, and it is worth insisting on. Thirty descriptions will consist of one person having a unified vocabulary. For very large sets, we split by product area. We also run a single edit pass to reconcile the wording across the set.
Completely. Copyright transfers to you on delivery, with no attribution requirement and no licence back to us. Nothing written for you is resold, repurposed or republished.
Reviews from completed, paid orders in this category.
Ordering is clearly very good, and the screenshots are clearly explained. The guide assumes the customer has admin access, which a good number of them do not. We wrote a pre-req box ourselves in ten minutes. Everything else was complete.
Our API documentation was written over an uneven four-year span. The author went through every single one and flagged six cases where our error responses were inconsistent with the description and raised them instead of just fixing them on the fly. That was worth the order.
Our release notes went unread, but they serve the purpose of listing what breaks and what doesn’t when considering whether to upgrade. Two customers actually took the time to send thank yous in the same week, something that had never happened before.
We do not ask you to take the no-AI promise on trust. Each draft is run through these platforms and the reports are attached to your delivery email.
Originality.aiAI detection + plagiarism
GPTZeroAI detection
TurnitinAI detection + similarity
CopyleaksAI detection + plagiarism
Winston AIAI detection
ZeroGPTAI detection
SaplingAI detection
Content at ScaleAI detection
Send the brief, get a human draft back within 3 days. No account, no subscription, no AI.
$10 per 100 words · all of it to the writer · 0.5% to trees