An OTP dashboard can show a successful send while a customer is still unable to create an account. The missing information sits between the messaging service, the verification check and the application’s own registration process.

For a business running software as a service, the useful question is which step last succeeded and what evidence supports it. A one-time password, or OTP, is part of that journey. Measuring the whole journey requires separate records of the message, the user’s response and the account outcome.

Define what each success means

Agree on the intended outcome before building a dashboard. For this discussion, registration is complete when the application has successfully created or activated the account as its own rules require. Work backward from that outcome through five distinct observations.

1. The API request is accepted. The application asks the OTP service to send a code. An application programming interface, or API, lets the two systems exchange that request. An acceptance response confirms the step defined by the API contract; it does not establish that the text has reached the phone. Read the returned result as well as the HTTP status.

2. A message delivery status is available. Where the provider supplies delivery reports, interpret them using its own definitions. For example, Twilio’s message-status reference distinguishes a queued message, acceptance by an upstream carrier and reported delivery. Its delivered status uses carrier confirmation and, where available, handset confirmation. That is evidence about transport, without establishing that the applicant read or entered the code. Other services may expose different information.

3. The code is submitted. Record when the application’s server receives a submission. A tap on the verification button alone cannot show that the request reached it. One registration attempt may include several submissions, so keep submission counts separate from customer or account counts.

4. The code is successfully validated. A trusted server or verification service checks the submitted code against the correct verification attempt and its expiry, usage and attempt rules. The application must bind that attempt to the intended number and action, and act on the trusted result. A browser displaying a success message is not sufficient evidence of validation.

5. Account creation succeeds. Confirm that the authoritative account operation actually completed. A provisional database record awaiting verification may not be an active account. If the product also promises to open a workspace, record that next outcome separately so a failed redirect does not disappear inside a general “success” count.

These observations need not reach the application in that order. A customer can submit a valid code before a delivery report arrives. Treat the report as diagnostic evidence, rather than requiring it before accepting an otherwise valid verification. If no report is available, preserve that uncertainty.

Follow a hypothetical registration in Saudi Arabia

Consider a fictional appointment-booking application serving customers with Saudi mobile numbers. Before sending a code, its form explains why phone verification is needed, states the supported country and lets the person check or edit the number they entered. A number can have the correct format and still be someone else’s number.

In this hypothetical journey, the request is accepted but the text arrives late. The customer returns to a screen whose timer still suggests that the code can be used. The server’s deadline has already passed, so the submission is rejected as expired. A delivered message and an unsuccessful verification are both accurate descriptions of this attempt.

Separate the code’s validity period from the wait before another code can be requested. Neither timer predicts when a message will arrive. The visible countdown should reflect the authoritative deadline, including after the customer leaves and reopens the screen. The duration belongs to the application’s security requirements and the service’s supported settings; there is no single duration to prescribe for every product.

Suppose this fictional application replaces the earlier code when it issues a new one. It should explain that behavior. Another service may handle resends differently, so the team must check the actual rules before telling users which code to enter.

Useful interface messages could include “This code has expired. Request a new code” when expiry is confirmed, or “You can request another code when this timer ends” while resending is unavailable. Keep an “Edit mobile number” action easy to find. These are application-interface examples, not proposed SMS templates.

Now suppose the replacement code validates, but saving the account fails. The recovery belongs to the account-creation step. Check the saved account state before retrying: a server might have completed the write and lost its response. Design retries to avoid duplicate accounts, and do not make recovery depend on accepting an already-used code again. Any continuation must remain tied to the authorized verification attempt.

For a Saudi-facing application, Tawked is one potential SMS OTP component. Its published product information limits SMS verification-code delivery to Saudi mobile numbers and describes sending through an API. The product team still needs to connect the trusted verification result to its own account-creation process and confirm that the intended action succeeds.

Successful phone verification is evidence of access to the code sent to that number at that time. It does not, by itself, certify a person’s legal identity or their authority to act for a business.

Use symptoms to guide an investigation

A symptom should open a set of questions. It rarely identifies a cause on its own, and a missing event may reflect incomplete monitoring. Compare records from the same registration attempt before deciding which component needs attention.

A support reference can help connect a customer’s report to these records. Support staff should not need the OTP itself to investigate the sequence.

Choose the unit before calculating a rate

Keep registration attempts, SMS send attempts and code submissions as separate units. A person requesting another message has not necessarily started another registration. Likewise, a repeated status notification must not create another completed account in the report.

Define a cohort by when registration attempts began, and give each attempt a consistent observation period. Mixing this morning’s completed accounts with this afternoon’s newly requested messages can make the numbers describe different groups. Keep unresolved attempts visible instead of immediately classifying them as abandoned.

For a purely hypothetical cohort of 100 registration attempts, suppose there are 125 accepted send requests because some people request another code. Within the chosen observation period, 80 attempts validate and 76 complete account creation. Completion is 76 percent of registration attempts, while completion after validation is 95 percent. The 125 sends describe message activity; they are a different denominator. These invented figures illustrate the calculations, not performance targets or service results.

The four verified attempts without completed accounts warrant a closer look at the application journey. They could involve an error, an unfinished requirement or a person choosing to stop. The numbers alone cannot settle that question.

Report delivery evidence separately, including pending and unknown outcomes. Otherwise, journeys that completed without a recorded delivery receipt can be wrongly excluded. If publishing a reported-delivery percentage, name its denominator and show how many send attempts still lack a final status.

Name the boundaries of every timing measure. API response time, time until a delivery report is received, time until the first code submission and time until account creation answer different questions. A late status update does not establish late handset delivery. Compare like-for-like periods and relevant application versions before treating a change as a service problem.

Record outcomes without collecting the code

OWASP’s guidance on handling one-time passwords recommends expiry, single use and limits on guessing attempts, and advises against logging OTP values. Those controls remain necessary even when the operational goal is to reduce registration friction.

For this journey, a useful event record could contain a randomly generated attempt reference, the stage reached, a server timestamp and a bounded outcome such as expired, rejected or completed. Add a separate send reference where needed to distinguish resends. An application version or interface language may help investigate a specific regression; collect such fields only when they serve that purpose.

Keep codes, SMS bodies, access tokens and unnecessary full phone numbers out of operational analytics. Check automatic request logging, error reports and session replay as well as deliberately written logs, because a code-entry payload can otherwise be copied into another system. An explicit list of permitted event fields makes that boundary easier to maintain.

Use a diagnostic reference that cannot grant account access. Restrict who can retrieve detailed events and set a retention period justified by investigation needs. Random references are not automatically anonymous if they can be linked back to a person. Where external timestamps are available, distinguish when an event occurred from when the application learned about it.

Give every incomplete journey a next step

Start an investigation with one incomplete attempt. Establish the last confirmed outcome, look for the next expected event and identify who can resolve the gap. That may mean improving number entry, correcting an expiry message, checking a delivery integration or repairing an account write. The business can call registration complete when its own application confirms the promised result.