# data[].attributes.headline
What information are we missing? What else do we need to know/find out?

# data[].attributes.subject
What information are we missing? What else do we need to know/find out?

# data[].attributes.headline
What information are we missing? What else do we need to know/find out?

# data[].attributes.subject
What information are we missing? What else do we need to know/find out?

# data[].attributes.headline
What information are we missing? What else do we need to know/find out?

# data[].attributes.subject
What information are we missing? What else do we need to know/find out?

# data[].attributes.headline
Mic not being tested - are they going straight to 'answer a question' instead? CN

# data[].attributes.subject
Mic not being tested - are they going straight to 'answer a question' instead? CN

# data[].attributes.headline
What are our learner's goals? Are they preparing for Linguaskill or other exam? Or maybe they want to practice less formally?

# data[].attributes.subject
What are our learner's goals? Are they preparing for Linguaskill or other exam? Or maybe they want to practice less formally?

# data[].attributes.body
HG

# data[].attributes.body
Reason for lack of retention,. Is this the lack of feedback for the user, or challenges in on-boarding. Is the nature of the task sufficiently engaging, simple linear progression through a prompt-response style task?

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- too many words for a non-english speaker, can we lead them thro set up with mostly pictures? HL

# data[].attributes.headline
Learner feedback: enjoyment of topics/task types/desired outcome from use of S&I

# data[].attributes.subject
Learner feedback: enjoyment of topics/task types/desired outcome from use of S&I

# data[].attributes.headline
The differences between the S&I and W&I audience? 

# data[].attributes.subject
The differences between the S&I and W&I audience? 

# data[].attributes.headline
How do S&I learners want to engage? Little & often, or more focused for longer?

# data[].attributes.subject
How do S&I learners want to engage? Little & often, or more focused for longer?

# data[].attributes.body
HG

# data[].attributes.headline
JS: How would learners like to practise? A whole test or in smaller parts?

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JS: How would learners like to practise? A whole test or in smaller parts?

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awards, what's next if they continue

# data[].attributes.headline
User 'trust' perception in results when defined as research project. Will user behavior change when 'released' as a product? 

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User 'trust' perception in results when defined as research project. Will user behavior change when 'released' as a product? 

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More robust feedback e.g. what are you doing (pronouncing) wrong, how should it be done and how can you improve it? CN

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More robust feedback e.g. what are you doing (pronouncing) wrong, how should it be done and how can you improve it? CN

# data[].attributes.headline
NR: Should S&I be evolved in the same way as W&I? How does it need to be different?

# data[].attributes.subject
NR: Should S&I be evolved in the same way as W&I? How does it need to be different?

# data[].attributes.body
Diane said a user can only replay their answer, nothing else.  We should be able to let them try again.  Also, could we provide sample answers for them to play so they could match the sounds and pronunciation better?

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How do you know what your 'speaking' level is? CN

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How do you know what your 'speaking' level is? CN

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NR: Is mobile first optimisation enough?  Does it need to be app based?

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NR: Is mobile first optimisation enough?  Does it need to be app based?

# data[].attributes.headline
Assumption that full product would require teacher feedback? 

# data[].attributes.subject
Assumption that full product would require teacher feedback? 

# data[].attributes.body
when there is more content, so sts can choose which units to do depending in aims....

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Word stress, pronunciation, fluency, etc would be good to include as part of Sandi's analysis. CN

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Word stress, pronunciation, fluency, etc would be good to include as part of Sandi's analysis. CN

# data[].attributes.headline
NR: How would S&I complement existing portfolio?  What other speaking practice do we have?  How can this differentiate?

# data[].attributes.subject
NR: How would S&I complement existing portfolio?  What other speaking practice do we have?  How can this differentiate?

# data[].attributes.headline
What does 'confidence' actually mean and what its value to the user is? CN

# data[].attributes.subject
What does 'confidence' actually mean and what its value to the user is? CN

# data[].attributes.headline
can we use the ASR transcript as a form of feedback? Could we get learners to 'correct' their own script as a hybrid Write/Speak activity?

# data[].attributes.subject
can we use the ASR transcript as a form of feedback? Could we get learners to 'correct' their own script as a hybrid Write/Speak activity?

# data[].attributes.headline
S&I on separate platform, does it make sense to split skills?

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S&I on separate platform, does it make sense to split skills?

# data[].attributes.body
Should we continue S&I as a multi-level test - same content all levels

# data[].attributes.headline
NR: What are the optimum conditions for recording / mic check?  Do we / can we specify?

# data[].attributes.subject
NR: What are the optimum conditions for recording / mic check?  Do we / can we specify?

# data[].attributes.headline
Are new learners seeking a quicker demonstration of S&I's offering before investing? Might not want to spend 30 minutes speaking into a product before having it prove itself somehow. HG

# data[].attributes.subject
Are new learners seeking a quicker demonstration of S&I's offering before investing? Might not want to spend 30 minutes speaking into a product before having it prove itself somehow. HG

# data[].attributes.headline
NR: why are we losing people through the funnel?  Will splitting the tests into smaller parts solve this?

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NR: why are we losing people through the funnel?  Will splitting the tests into smaller parts solve this?

# data[].attributes.headline
The can do bite sizes and it's saved. Don't have to do a whole unit

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The can do bite sizes and it's saved. Don't have to do a whole unit

# data[].attributes.headline
NR: does the growth trajectory link to LS growth?

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NR: does the growth trajectory link to LS growth?

# data[].attributes.headline
NR: what are the dependencies for the graphs?  e.g. do we need UX work?

# data[].attributes.subject
NR: what are the dependencies for the graphs?  e.g. do we need UX work?

# data[].attributes.headline
NR: who is ELSA speech being backed by and what are their plans?

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NR: who is ELSA speech being backed by and what are their plans?

# data[].attributes.headline
NR: More info from HE/adult segment needs to come

# data[].attributes.subject
NR: More info from HE/adult segment needs to come

# data[].attributes.body
What feedback do candidates actually want - especially pronunciation? Links with appropriate teaching material (CUP?).

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What's needed to reach a pedology sound 'improve' solution. Is anyone at this point?

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What's needed to reach a pedology sound 'improve' solution. Is anyone at this point?

# data[].attributes.headline
Will the learners we want to appeal to tend to have an associated teacher, or be working in class, or be more self-guided at home?

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Will the learners we want to appeal to tend to have an associated teacher, or be working in class, or be more self-guided at home?

# data[].attributes.body
HG

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NR: what are our priority markets: geographies & segments?  Where is the need most felt and what are the strongest pains?

# data[].attributes.subject
NR: what are our priority markets: geographies & segments?  Where is the need most felt and what are the strongest pains?

# data[].attributes.headline
TB: How does S&I fit in with other speaking learning products being developed across CAE and CUP? (Unless this was discussed when I was gone!)

# data[].attributes.subject
TB: How does S&I fit in with other speaking learning products being developed across CAE and CUP? (Unless this was discussed when I was gone!)

# data[].attributes.headline
What's the most popular speaking app and why?

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What's the most popular speaking app and why?

# data[].attributes.headline
In terms of feedback, what would help a learner improve and would the feedback need to be in their own language?

# data[].attributes.subject
In terms of feedback, what would help a learner improve and would the feedback need to be in their own language?

# data[].attributes.body
In the market what form of learning/assessment interaction do students find more useful.

# data[].attributes.headline
Partnership may be the biggest opportunity in China? CG

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Partnership may be the biggest opportunity in China? CG

# data[].attributes.headline
NR: How many users can the current research project accommodate?

# data[].attributes.subject
NR: How many users can the current research project accommodate?

# data[].attributes.headline
Will learners / teachers prefer a single app tackling all aspects broadly, or several smaller, more specifically targeted apps? HG

# data[].attributes.subject
Will learners / teachers prefer a single app tackling all aspects broadly, or several smaller, more specifically targeted apps? HG

# data[].attributes.headline
TK: fun and motivating interface for different types of learners?

# data[].attributes.subject
TK: fun and motivating interface for different types of learners?

# data[].attributes.headline
Think it's really important not to attempt to 'copy' what exists in the market now but focus on the free speech capabilities we have which seem more sophisticated than the majority of competitors we have just seen

# data[].attributes.subject
Think it's really important not to attempt to 'copy' what exists in the market now but focus on the free speech capabilities we have which seem more sophisticated than the majority of competitors we have just seen

# data[].attributes.headline
'Fear of Failure' pops everywhere in research. What can we do to help change that mindset? e.g. make 'failure' positive? CN

# data[].attributes.subject
'Fear of Failure' pops everywhere in research. What can we do to help change that mindset? e.g. make 'failure' positive? CN

# data[].attributes.headline
Do users have a preference for a native app, or is mobile web ok too?

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Do users have a preference for a native app, or is mobile web ok too?

# data[].attributes.headline
NR: what is carnegie providing for Empower?

# data[].attributes.subject
NR: what is carnegie providing for Empower?

# data[].attributes.headline
Segment with the greatest technical and commercial feasibility? Schools/HE/B2C?

# data[].attributes.subject
Segment with the greatest technical and commercial feasibility? Schools/HE/B2C?

# data[].attributes.headline
NR: Speaking only or integrated skills e.g. listen & speak, read & speak?

# data[].attributes.subject
NR: Speaking only or integrated skills e.g. listen & speak, read & speak?

# data[].attributes.headline
Opportunity for mix of interacting with machine sometimes, and sometimes with other learners ? (KMK)

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Opportunity for mix of interacting with machine sometimes, and sometimes with other learners ? (KMK)

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Perhaps other learner interactions unassessed, at least initially

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AI generated content with infinite examples? CN 

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AI generated content with infinite examples? CN 

# data[].attributes.headline
NR: which key markets are trailing in speaking skills beyond Turkey & mexico?

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NR: which key markets are trailing in speaking skills beyond Turkey & mexico?

# data[].attributes.headline
NR: what are the quick wins we can do easily?

# data[].attributes.subject
NR: what are the quick wins we can do easily?

# data[].attributes.headline
NR: does it plot scores as progress if tasks are repeated?

# data[].attributes.subject
NR: does it plot scores as progress if tasks are repeated?

# data[].attributes.headline
NR: What does task / content focus need to be to support speech needs in market and Cambridge's automarker ambitions in assessments?

# data[].attributes.subject
NR: What does task / content focus need to be to support speech needs in market and Cambridge's automarker ambitions in assessments?

# data[].attributes.headline
TB: What data does S&I need to provide that LS is not providing? What is the data generation purpose of S&I?

# data[].attributes.subject
TB: What data does S&I need to provide that LS is not providing? What is the data generation purpose of S&I?

# data[].attributes.headline
JS: can we gather L1/age from all users?

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JS: can we gather L1/age from all users?

# data[].attributes.headline
TB: Is S&I providing data now that LS is not / cannot?

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TB: Is S&I providing data now that LS is not / cannot?

# data[].attributes.body
TB: What extra legal / data considerations would there be if we wanted to target S&I at children? (Parental consent, etc.)

# data[].attributes.headline
Do we have a framework/structure for collecting the data for research? Standard T&C that can be included?

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Do we have a framework/structure for collecting the data for research? Standard T&C that can be included?

# data[].attributes.body
How (or if) S&I is going to support research in feedback. What is the split between CAE/ELiT/ALTA/ for implementation responsibility?

# data[].attributes.headline
Split testing of backends and its effect on learner motivation / engagement / improvement - HG

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Split testing of backends and its effect on learner motivation / engagement / improvement - HG

# data[].attributes.headline
If users lack language resources, how can we help them?

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If users lack language resources, how can we help them?

# data[].attributes.headline
TB: This is more of a general R&D capability question, rather than one linked to S&I specifically but I'll ask it here anyway. How important is that the EliT-EST Speech API can accurately handle read aloud task (and other types of constrained tasks where the expected answer is known)? I know that other product teams (e.g. NPD for DYL, CUP for some Compass) are (planning on) using Soapbox Labs (https://www.soapboxlabs.com/) for their products, in part because their ASR (currently!) handles younger learners better than ours, but also because it handles these types of tasks better. If this type of task IS important across Cambridge, then we should *consider* developing this capability ourselves (to save on ongoing operational costs, for example). As Mark & Kate mentioned, this would be possible, but would of course mean prioritizing this development against other R&D work. 

# data[].attributes.subject
TB: This is more of a general R&D capability question, rather than one linked to S&I specifically but I'll ask it here anyway. How important is that the EliT-EST Speech API can accurately handle read aloud task (and other types of constrained tasks where the expected answer is known)? I know that other product teams (e.g. NPD for DYL, CUP for some Compass) are (planning on) using Soapbox Labs (https://www.soapboxlabs.com/) for their products, in part because their ASR (currently!) handles younger learners better than ours, but also because it handles these types of tasks better. If this type of task IS important across Cambridge, then we should *consider* developing this capability ourselves (to save on ongoing operational costs, for example). As Mark & Kate mentioned, this would be possible, but would of course mean prioritizing this development against other R&D work. 

# data[].attributes.headline
AP: PISA for YL, other task types avaialble.

# data[].attributes.subject
AP: PISA for YL, other task types avaialble.