A two-week AgriVoice pilot gives a cocoa-sector partner enough real use to decide whether to continue, make one focused improvement, or stop before weak advice reaches more farmers. The decision should rest on six observable signals: safe answers, comprehension, repeat use, escalation operations, response time, and cost per completed question.
In 1970, Apollo 13’s crew faced a carbon-dioxide problem after an explosion changed the mission. The lunar module had square lithium-hydroxide canisters, while the command module’s compatible canisters were round. Engineers on the ground had to work from materials already available to the astronauts and send up a workable procedure before carbon dioxide became dangerous. James Lovell, Fred Haise, and John Swigert returned safely, but the solution had to prove itself under real constraints, not on a clean diagram. Lovell and Jeffrey Kluger document the mission in Lost Moon.
That is the discipline AgriVoice needs. A voice service can look convincing in a demo, then fail when a farmer speaks with background noise, mixes Twi and English, asks an ambiguous question, or needs pesticide guidance that has not been reviewed. The pilot is where the system meets those constraints.
Safe answers come before answer volume
AgriVoice should count a question as successful when it receives a reviewed answer or is correctly escalated to a person. A confident but wrong answer does not improve the score.
The target is at least 70% of farmer questions answered or correctly escalated, with zero unsafe pesticide answers. That means the system must recognise when a reviewed content block fits, and when it does not. It must also preserve mandatory safety information in chemical-related responses.
Three chemical blocks remain held because dosage, re-entry, and pre-harvest intervals have not been verified. Keeping them unavailable is evidence of a working safety boundary. What Happens When a Cocoa Pesticide Question Has No Reviewed Answer? explains why a human handoff is the right response when the approved advice is incomplete.
A partner should stop or redesign the pilot if an unreviewed instruction reaches a farmer. That threshold is deliberately strict. There is no acceptable average for unsafe pesticide advice.
Understanding and repeat use reveal whether the voice works
A response has little value if the farmer cannot understand it. AgriVoice therefore asks whether users report understanding the response, with a target of at least 80%.
This matters because the current Asante Twi voice was trained from scripture recordings and can sound formal. A native speaker scored it at 55% on first hearing. The pilot should establish whether farmers can follow the voice in actual conversations, rather than assume that technical speech scores capture comprehension.
Repeat use is the companion measure. At least 30% of activated farmers should ask another question in the second week. A first interaction can reflect curiosity, help from a field worker, or the novelty of hearing a service reply in Twi. A second question is stronger evidence that the service earned a place in a farmer’s routine.
If comprehension is low, the next iteration might focus on spoken wording, delivery speed, or voice acceptance. If farmers understand the answers but do not return, the partner should examine whether the questions covered were useful enough, whether the channel was convenient, and whether the service answered at the moments farmers needed it.
An escalation queue needs a real owner
Some questions should leave the automated path. A farmer may ask about an unfamiliar symptom, a product without approved instructions, or an issue that needs local context. The pilot needs a named extension officer who receives those cases and resolves them.
The operational target is a median human response in less than one working day. A queue without an accountable person is not a safety feature. It is a delayed failure.
Partners should test the entire handoff: who receives the question, what context they see, how they reply, and whether the farmer receives a clear next step. The pilot should also record unresolved cases. Those cases become the best evidence for what content needs review next.
Apollo 13’s solution depended on a complete chain: the crew’s condition, the hardware limits, the ground team’s procedure, and the ability to carry it out. AgriVoice has the same practical requirement at a far smaller scale. A correct escalation rule only helps when a real person can take the case.
Speed and cost decide whether the service can continue
The technical target is a median end-to-end response below eight seconds, excluding human escalation. Longer waits can break a spoken exchange, especially when a farmer has to repeat a question or wonders whether the service heard them.
The partner should also measure the cost of every completed question by component: WhatsApp, speech recognition, language-model selection, speech synthesis, hosting, and human escalation. These costs need to be visible before anyone discusses a broader deployment or a partner price.
At the end of two weeks, the partner has three honest choices. Continue if the safety boundary holds and the other signals meet their thresholds. Iterate once when the evidence points to one contained fix, such as voice comprehension or a slow response path. Stop when wrong answers recur, escalation has no owner, or the economics cannot support a plausible service.
That decision protects farmers and protects the partner’s time. The point of the pilot is to learn whether AgriVoice can carry a real cocoa question from spoken Twi to reviewed advice, or to a responsible human, every time it needs to.
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