Describe a potential customer persona for the product:
Sleep Tracker.
For that persona, describe the following information.
1. Psychographic
2. Demographic
3. Day-in-the-life
4. Struggles and pains
5. Jobs-to-be-done
6. Others
1. Psychographic:
1. Psychographic: That person is interested in tracking their sleep because they want to improve their sleep quality.
2. Demographic: That person is between the ages of 18 and 29.
3. Day-in-the-life: That person is a student who is currently living away from home.
4. Struggles and pains: That person is struggling to get enough sleep because they have a lot of work to do and they are often up late.
5. Jobs-to-be-done: That person is looking for a way to improve their sleep quality so that they can feel more rested and be more productive during the day.
6. Others: That person has tried other sleep tracking apps in the past, but they were too difficult to use.
1import cohere
2co = cohere.Client('{apiKey}')
3response = co.generate(
4 model='command',
5 prompt='Describe a potential customer persona for the product: Sleep Tracker.\n\nFor that persona, describe the following information. \n1. Psychographic\n2. Demographic\n3. Day-in-the-life\n4. Struggles and pains\n5. Jobs-to-be-done\n6. Others\n\n1. Psychographic:',
6 max_tokens=200,
7 temperature=0.6,
8 k=0,
9 p=0.6,
10 frequency_penalty=0,
11 presence_penalty=0,
12 stop_sequences=[],
13 return_likelihoods='NONE')
14print('Prediction: {}'.format(response.generations[0].text))
model_size | command |
max_tokens | 200 |
temperature | 0.6 |
k | 0 |
frequency_penalty | 0 |
p | 0.6 |
presence_penalty | 0 |